The Voice of Creative Research

Reproductive Rights of Women in India

Aboli Jakhar — Wed, 30 Apr 2025 00:00:00 +0000

The paper elaborates on the existing and available reproductive rights and choices to women in India and the deprivation and negligence still faced by women in the sphere of reproductive and sexual autonomy. Though rights in the reproductive sphere are relatively new to India, India has made significant progress in this concerned field when compared to many developed countries of the world. Drawing on the right to privacy, dignity and bodily integrity, reproductive rights are firmly inter-wined within the broader framework of reproductive justice and human rights. Paper also concentrates on various concepts concerning sexual rights of women like sexual autonomy, reproductive choice and reproductive justice. Ruling under the cases of Suchitra Srivastava and Laxmi Mandal formed the bedrock of India’s reproductive rights jurisprudence leading to flourishment of laws concerning reproductive rights in India. Various legislations and judicial interventions at various stages have been instrumental in securing and furthering the reproductive rights of women in India. Various actions and decisions by concerned authorities have provided the needed support and assistance in doing away with the realm of obliviousness that is still considered as a major barrier in enjoyment of these rights by community of women. In recent decade there have been various constitutional underpinnings, advancement of the scope and imposition of duties on the state to formulate policies and take decisions that respects and acknowledge sexual autonomy of women. The paper touches on various aspects that are related to the sexual rights and autonomy of women in India such as marital rape, menstrual and maternal health, right to abortion, adultery and so on. The paper also focuses on the existing constitutional rights and human rights in India like right to life, equality, freedom and privacy, that are strongly inter wined and could realise their true meaning only when the reproductive rights are acknowledged and receives their due recognition. The writing also focuses on various legal and societal challenges that women still face in the realisation of sexual choices and right to bodily integrity in India. Finally, the paper also discusses the need for the gender sensitive policy formulation and implementation that takes into consideration special rights and freedoms of women in India and build an inclusive environment that would lead in true empowerment and emancipation of women.

Leveraging Solo Travel Experiences in Academic Teaching: A Tool for Experiential Learning

Aditya Davane — Wed, 30 Apr 2025 00:00:00 +0000

Traveling is not merely a recreational pursuit; it serves as a transformative avenue for hands-on learning, shaping individuals through direct engagement with diverse cultures, environments, and real-world challenges. Unlike traditional academic instruction, which follows a structured framework, travel nurtures flexibility, enhances analytical thinking, and deepens one’s appreciation for varied perspectives. Whether by delving into historical landmarks, engaging in linguistic interactions, or maneuvering through unfamiliar surroundings, travelers cultivate cognitive agility and emotional depth that conventional learning methods often lack. This paper explores how travel functions as an alternative educational tool, drawing from psychological, sociological, and philosophical perspectives. This study explores real-world case studies showcasing the impact of transformative travel experiences and underscores the importance of incorporating travel-based learning into mainstream education. Additionally, it examines how educators who embark on solo journeys can leverage their experiences to foster independence, critical thinking, and cultural sensitivity in their students.

Sustainability and Environmental Management in Karavali – Coastal Karnataka Region of India

Shenoy Akshata Devanand, Parul Mathur — Wed, 30 Apr 2025 00:00:00 +0000

With its varied and delicate coastal ecosystems, the Karavali region of Karnataka is essential to maintaining biodiversity, sustaining traditional livelihoods, and promoting economic endeavours like agriculture, tourism, and fishing. However, uncontrolled tourism, industrial growth, urbanization, and unsustainable resource exploitation have led to significant environmental deterioration. The ecological and socioeconomic stability of the area is seriously threatened by pollution, mangrove destruction, coastal erosion, loss of marine biodiversity, and climate change effects. This paper investigates the serious environmental problems the Karavali region currently faces and explores sustainable management techniques to mitigate them. It assesses the role of government regulations, corporate social responsibility, policy frameworks, and community involvement in fostering an ecologically resilient coastal environment. The study also evaluates the socioeconomic effects of environmental degradation, emphasizing the necessity of climate adaptation plans that balance environmental preservation with developmental needs. By examining successful case studies and best practices, this paper offers practical recommendations for policymakers, researchers, and stakeholders to implement long-term conservation strategies ensuring the sustainability of the Karavali region for future generations. Protecting this region's coastal resources and ecosystems requires a comprehensive, multidisciplinary approach integrating traditional knowledge, scientific research, and participatory governance.

Research Article The Allure of InstaPoetry: A Stylistic and Thematic Study of Nikita Gill’s Poem “For Her”

Amvi Mishra — Wed, 30 Apr 2025 00:00:00 +0000

The study is undertaken to outline the advent of a new form of expression called ‘instapoetry’ (poetry published on the social media app Instagram) and trace the evolution of poetry in the digital age whilst demonstrating the power of social media as an outlet for writing and publication for modern-day poets. The research introduces Nikita Gill, published author and instapoet, to make the case in point. Furthermore, Gill’s poem titled, For Her is investigated on the various linguistic levels, namely phonological, graphical, morphological, syntactic, and semantic, to analyse the same stylistically. Lastly, the study also incorporates a thematic understanding of the poem to elaborate on the merits of instapoetry and seeks to conclude that instapoetry is well-deserving of its popularity despite its shortcomings.

Scope of Sports Management in India

Anuja Maheshwari — Wed, 30 Apr 2025 00:00:00 +0000

The aim of this study is to examine the importance, trends, future scope, and development of sports and its management in India. With immense development of various sports activities and easy access to infrastructure and other amenities, sports have gained momentum. Management of different fields has helped those field to run smoothly and gain profits. Sports management is a completely new field and is set to make changes and gain importance and momentum of the management of sports activities in India. The scope of the research is to understand the field of sports management, study the past developments, and identify its future goals. As this study is a research paper the pre-existing data were analysed and new data was obtained through primary source.

Is Chaos really Chaos in Alice’s Wonderland?

Gauri Sarda — Wed, 30 Apr 2025 00:00:00 +0000

Order is chaos, chaos is order.

Scientific discoveries have always kept mankind on the hooks. Be it Copernicus or Galileo, Einstein or Stephen Hawking, something new has always been added to the ultimate phenomenon called ‘Science’. One such theory that brought about a revolution in the scientific world in the 1960s is Chaos theory. Putting all the scientists in awe, it forced them to question their beliefs about nature and its actions: a new theory that proposed everything that appears to be organized and well structured is, in reality, a mosaic of ordered chaos and that which looks to be un-organized and non-structured, in fact, follows a pattern which makes it look like chaos. Every disorder is an order of disorder. Since literature is also closely linked to Chaos theory, the present paper endeavours to explore the same via Lewis Carroll’s Alice’s Adventures in Wonderland. Alice’s Adventures in Wonderland has been critically analyzed from various points of view. This paper, however, will attempt to show how the text is closely connected to chaos theory. The chaos that ensues in Wonderland is not chaos in actuality.

Leadership in the Digital Era: An Exploration of the Leader’s Role in the Age of Digital Transformation

Debapriya Das, Shivangi Bhatia — Wed, 30 Apr 2025 00:00:00 +0000

This theoretical paper is grounded in a wide re-evaluate of multiple investigation information on leadership and digital revolution. The research paper begins with a theoretical overview of digitization and digital renovation, emphasizing digitalization as a modus operandi of change. The study emphasizes that the success of digital revolution is primarily influenced by how leaders utilize digital technology to drive organizational expansion. It draws on a variety of review reports and instance from unlike leaders and companies to support the argument that a leader’s vision, foresight, and strategic use of digital technology play a key role in boosting organizational productivity. The paper also explores the various organizational dimensions that leaders transform to integrate digital technology within the organization. Additionally, it addresses the major challenges leaders face when implementing digital transformation or incorporating digital technology into their corporate models, offering suggestions on how to overcome these barriers. The papers conclude by emphasizing the essential role of leaders in driving organizational excellence in the digital era. The research underscores the significance of leaders’ roles and Judgment skills in steering Business efficiency in a digitally transformed landscape.

“Critical Investigation of Integrated Child Development Service Scheme” Reference- Palghar District

Dr. Nitin V. Kharat — Wed, 30 Apr 2025 00:00:00 +0000

This study critically investigates the Integrated Child Development Services Scheme (ICDSS) in Palghar District, Maharashtra. Since its establishment in 2014, Palghar, a tribal-dominated district, has faced significant challenges such as poverty, superstition, and addiction, contributing to widespread malnutrition among children. The scheme aims to mitigate these issues through initiatives like supplementary nutrition and healthcare for pregnant women, lactating mothers, and children under 6 years. Despite governmental efforts, malnutrition remains pervasive, necessitating a comprehensive review of policy implementation and community participation.

NCC Girls as Climate Leaders: Gender Sensitization through Environmental Activities in Mumbai

Dr. Urmila Sarkar, Janhavi. R. Kolte — Wed, 30 Apr 2025 00:00:00 +0000

This research paper examines the pressing global challenges of climate change and environmental degradation, emphasizing the need for proactive involvement from all sectors of society. The National Cadet Corps (NCC) plays a crucial role in advocating for environmental sustainability while cultivating leadership skills among youth. Specifically, this study highlights the evolving role of NCC girl cadets in Mumbai as climate leaders, exploring how their participation in environmental initiatives fosters both gender sensitization and empowerment. Through initiatives such as tree plantation drives, coastal clean-ups, waste management campaigns, and climate awareness programs, NCC girls actively contribute to ecological conservation while challenging traditional gender norms. Their involvement in these activities enhances leadership skills, builds confidence, and promotes civic responsibility. However, despite their contributions, they encounter societal biases, resource limitations, and safety concerns, which hinder their full participation in environmental activism. This paper examines the intersectionality of gender and climate leadership by highlighting the transformative impact of environmental engagement on NCC girls. It underscores the need for policy interventions, including structured environmental training, increased funding, safety measures, and institutional recognition, to optimize their contributions. By addressing these challenges, NCC cadets can be further empowered to take on leadership roles in sustainability efforts, ensuring a more inclusive approach to climate action. The study concludes that integrating gender-sensitive policies within NCC’s environmental initiatives can bridge the gap between youth engagement and climate governance. Recognizing NCC girls as key stakeholders in environmental leadership not only strengthens India’s commitment to sustainable development goals but also fosters a more equitable and resilient future. Their participation serves as a model for empowering young women in environmental conservation, ultimately reinforcing the crucial link between gender equality and climate action.

Beyond The Platter: Unpacking Trauma, Resistance, and Healing in Han Kang’s The Vegetarian

Dr. Jyoti S. Mundhe , Ishita Anil Tripathi — Wed, 30 Apr 2025 00:00:00 +0000

This research paper analyzes the themes of trauma, resistance, and healing in Han Kang’s The Vegetarian, examining their representation within the socio-cultural and psychological context of contemporary Seoul. The study focuses on the protagonist, Yeong-hye, whose traumatic experiences are shaped by both personal and societal pressures, resulting in deep psychological scars. Her decision to adopt vegetarianism and her subsequent silence are interpreted as acts of resistance against patriarchal and societal expectations. The paper explores how the novel addresses the complexities of healing, highlighting the psychological and societal constraints that impede recovery. Through the use of literary techniques such as symbolism, narrative structure, and character development, Han Kang deepens the thematic exploration of these issues. The findings underscore the significant impact of societal pressures on personal identity and autonomy, offering a critical examination of the socio-cultural dynamics that shape the lives of women in Seoul. This research contributes to the broader understanding of how literature can reflect and challenge societal norms, particularly in relation to psychological trauma and women’s mental health, calling attention to the need for greater awareness and support in addressing these themes.

Prakriti Analysis Using AI: A Convergence of Ayurveda and Modern Technology

Gaurav Salvi, Prabha Kadam — Wed, 30 Apr 2025 00:00:00 +0000

The intersection of Ayurveda and artificial intelligence (AI) is gaining scholarly attention, particularly in Prakriti (body constitution) analysis. Ayurveda, an ancient medical system, classifies individuals into Vata, Pitta, and Kapha constitutions, influencing their health and disease susceptibility. While, traditional Prakriti assessments rely on qualitative observations, but AI-driven technologies offer opportunities to enhance diagnostic precision and standardization. This review synthesizes existing literature on Prakriti assessment methodologies and their integration with computational approaches. While previous studies have explored questionnaire-based assessments and limited biometric parameters, challenges remain in standardization, reproducibility, and empirical validation. The lack of large-scale datasets and AI models trained on Ayurvedic principles hinders alignment with contemporary biomedical frameworks. Additionally, few studies integrate physiological and machine learning-based approaches for a more comprehensive understanding of Prakriti. This paper identifies these research gaps and examines emerging AI methodologies, such as machine learning, neural networks, and predictive modeling, hold potential for advancing Prakriti analysis. This review also highlights ethical and methodological considerations, emphasizing the need for interdisciplinary collaboration and regulatory frameworks. AI-driven approaches can provide evidence-based validation of Ayurveda, enhancing its acceptance in modern healthcare. The findings underscore the need for a standardized, data-driven framework for Prakriti analysis, leveraging AI to bridge the gap between traditional knowledge and scientific rigor. This convergence not only enhances the credibility of Ayurveda but also paves the way for personalized, preventive, and precision medicine in global healthcare.

Decolonising the Feminine: A Critique of the Christianised Arc of Circe in Madeline Miller’s Circe

Ila Sharma, Dr. Prasanna Deshpande — Wed, 30 Apr 2025 00:00:00 +0000

Madeline Miller’s Circe (2018) presents itself as a feminist retelling of the Odyssey, reimagining Circe as an empowered protagonist. However, beneath this retelling lies a deeper ideological structure shaped by Christianised epistemology, particularly the Christian redemptive arc. Circe’s transformation from a feared witch to a self-sacrificing mother mirrors the moral trajectory imposed by Christianised narratives, where pagan figures are either tamed or redeemed through suffering (Spacciante 405). This paper also examines Circe through Barbara Creed’s monstrous-feminine theory, which critiques the patriarchal construction of female monstrosity (Creed 19). However, Creed’s framework itself is bound within dominant Western literary tradition, which upholds binaries of the monstrous and the divine feminine, reinforcing the moralistic categorisation of femininity imposed by Christian doctrines rather than dismantling it. This paper argues that Circe, despite its feminist aspirations, participates in the same historical process that reshaped pagan myths to align with Christian morality—where powerful female figures are reimagined through a lens of sin, redemption, and domestication (Dhareshwar 121). The shift from Circe’s non-moralistic portrayal in The Odyssey (Lattimore 151) to a self-sacrificing motherly figure in Miller’s novel exemplifies the erasure of non-dualistic, pagan femininity (McClymont 24). In contrast, Greek philosophical traditions such as Neoplatonism and Heraclitus’ unity of opposites offer alternative conceptualisations of feminine power. Neoplatonism, particularly in the works of Plotinus, suggests an indivisible reality where opposites like creation and destruction, monstrous and divine, exist within a unified one, resisting rigid moral categorisation (Corrigan 26). Similarly, Heraclitus’ philosophy challenges static binaries, asserting that opposing forces exist in perpetual flux and interdependence rather than as moral absolutes (Emelyn-Jones 92). This paper critiques the ideological constraints of Circe and argues for a retelling that resists the Christianised transformation of pagan myths. By engaging with both Western feminist theory and its constraints; and pre-Christian epistemology, this study highlights the limitations of Miller’s Circe in its attempt to reclaim a lost voice while remaining within the confines of a deeply Christianised literary tradition.

Repositioning the Subaltern in Modern Indian History: A Close Look at Arundhati Roy’s The Ministry of Utmost Happiness

Dr. Jyoti S. Mundhe, Neha Gurdasani — Wed, 30 Apr 2025 00:00:00 +0000

This paper explores the representation of the subaltern in Arundhati Roy’s The Ministry of Utmost Happiness, focusing on how the novel engages with the complexities of modern Indian history. Through a critical analysis of Roy's characters and narrative structure, the study examines how the marginalized voices are not only central to the storyline but also serve as a lens through which the socio-political realities of contemporary India are refracted. The research investigates the intersection of caste, gender, religion, and class in shaping the experiences of the subaltern, and how these intersecting identities challenge the dominant historical narratives. By repositioning these often silenced voices within the broader discourse of modern Indian history, Roy’s work highlights the ongoing struggles for justice and equality. This paper contends that The Ministry of Utmost Happiness offers a profound critique of historical marginalization and calls for a reevaluation of the power structures that continue to exclude these voices from mainstream historical accounts.

Sociometric Statuses of Children in Different Schooling Systems in Thane: A Thematic Analysis

Komal M. Kadam, Disha Poojary — Wed, 30 Apr 2025 00:00:00 +0000

Childhood plays a critical role in shaping personality and lifestyle, with differing socio-metric statuses (Popular, Average, Controversial, Neglected, and Rejected) forming primarily during school years. Previous research shows that rejected and neglected children face challenges not only in school but also in future relationships and workplaces. This study aims to explore how family, friends, and the academic environment influence socio-metric status and later affect students’ self-esteem, participation in activities, and societal views. Using an exploratory design, this study collected data of 40 students aged 5-14 years using open-ended interviews. Data was then analysed using ATLAS.ti software and thematic analysis was done. Many themes were identified that contributed to the development of the rejected/neglected socio-metric styles. Among students from Private school the family related problems are significant whereas among Government school children both the family and school environment factors seem to be significant. Private & Government school students show different patterns of impact on social behaviour. Overall the study identifies the need to have different plans to tackle the issues of being Neglected and Rejected differently according to children’s unique environment. This study contributes to efforts of promoting the well-being of the student by highlighting the importance of the sociometric statuses and its effect on social development. The result of the study can be used by various educational institutes to revise the policies and provide a better environment for the students.

Redefining Consumer Decision-Making: The Neuropsychological Foundation of Behavioral Economics in Modern Marketing

Mansi Ranawat — Wed, 30 Apr 2025 00:00:00 +0000

In today’s dynamic marketing landscape, behavioral economics (BE) plays a pivotal role in shaping consumer decision-making, offering deeper insights into the irrational and bias- driven nature of consumer behavior. This paper explores how BE challenges traditional rationality, emphasizing cognitive biases and irrational decision-making. It examines key BE principles such as prospect theory, loss aversion, and nudging, with a focus on the neuroscience underlying decision-making; in particular, brain regions including the prefrontal cortex and amygdala, as well as neurotransmitters that influence the decision to purchase. The research demonstrates how BE provides companies with a more precise understanding of consumer behavior than CB theories. Finally, it shows how business organizations can utilize BE insights to improve marketing strategies, increase consumer engagement, and better influence consumer decisions.

Integration of Artificial Intelligence with Robotic Process Automation: Advances, Challenges, and Future Directions

Monisa Aqvin Rodrigues — Wed, 30 Apr 2025 00:00:00 +0000

The integration of the Artificial Intelligence (AI) and Robotic Process Automation (RPA) is transforming industries by enabling intelligent automation beyond rule-based processes. This paper explores the evolution of AI-powered RPA, highlighting its uses in a variety of industries, including healthcare, smart cities, finance, and software development. By analysing recent advancements, we identify how AI enhances RPA by incorporating cognitive abilities like machine learning, predictive analytics, and natural language processing. The study further investigates hybrid intelligence systems that integrate human expertise with AI-driven automation for complex problem-solving. Through a comprehensive literature review, this study provides insights into the future of intelligent automation and offers strategic organizational recommendations looking to optimize the AI-RPA implementations.

Awareness on Green Practices Using Cloud Computing to Achieve Sustainable Tourism in India 2025

Prachi Abhijeet Surve — Wed, 30 Apr 2025 00:00:00 +0000

Tourism is a crucial contributor to India's economy, emphasizing the need for a shift toward sustainable tourism practices. This paper examines how cloud computing can facilitate awareness and the adoption of environmentally friendly initiatives in the tourism sector. It explores various applications, advantages, and challenges associated with leveraging cloud technology to support eco-friendly tourism in India. Additionally, the study highlights the significance of digital platforms, data analytics, and real-time monitoring in encouraging sustainable tourism practices among key stakeholders.

Role of Bank of Maharashtra in Financial Inclusion with Special Reference to Post Covid-19 Period

Prof. Yashwant Sayabu Bhorkade — Wed, 30 Apr 2025 00:00:00 +0000

India, being a developing country, has large segments of rural and semi-rural population which need to develop a culture of savings. India has been independent for more than 75 years but big chunks of its people still don’t have bank accounts. This is why the Indian government and the RBI are working hard to spread the idea of financial inclusion. In fact, it's now one of the country's main goals. Financial inclusion, or inclusive financing, means providing financial services at prices that people can afford. This is for those who are far away from benefit or don't earn much money and who can't get financial products & services otherwise. In India, RBI’s several measures are to achieve the goal of financial inclusion through scheduled banks which includes opening branches and no-frills accounts in unbanked rural areas, engaging business correspondents, relaxation on KYC norms, use of ICT, introduction of GCC facility etc. Scheduled banks include Commercial and Co-operative banks. Scheduled Commercial banks are Public & Private sector banks, Foreign & Regional rural banks. Bank of Maharashtra is one of the largest nationalized banks which plays an important role in financial inclusion. Therefore, in the present study, the researcher has attempted to focus on the Role of Bank of Maharashtra in Financial Inclusion. This research article provides insight into branch expansion, ATM Centers, PM- Jan Dhan Yojana Accounts, and deployment of Credit to MSMEs.

Menstrual Hygiene Management - Awareness and Sustainable options with special reference to Kirti College, Mumbai

Vanita Kamat — Wed, 30 Apr 2025 00:00:00 +0000

Menstruation is the vaginal bleeding that occurs when the lining of uterus sheds. Adolescent girls and women face many physical and psychological and social issues in life with respect to menstruation. Inadequate Menstrual Hygiene Management (MHM) can lead to a range of health problems, including urinary tract infections, reproductive tract infections and menstrual-related disorders. Furthermore, societal stigma and taboos surrounding menstruation can perpetuate shame, embarrassment and low self-esteem among women and girls. This research explores the barriers, practices and perceptions surrounding MHM, focusing on the role of education, infrastructure and cultural norms. This study highlights the need for integrated interventions, including the provision of affordable menstrual products, such as sanitary pads, menstrual cup, awareness about dysmenorrhea and educational programs targeting both genders. Menstrual hygiene and Primary dysmenorrhea are interconnected issues that significantly affect the health, education and productivity of menstruating individuals. Dysmenorrhea characterised by crampy pain in abdomen, lower back along with other associated symptoms which differ widely. Earlier studies have clearly shown prevalence of Primary dysmenorrhea which varies widely from 16.8 to 81 % worldwide.

Eye and Face-Controlled Mouse Based on Human-Computer Interaction

Rakesh Koendar, Siddhesh Kadam — Wed, 30 Apr 2025 00:00:00 +0000

In the current digital era, prospects for computer improvements are constantly presented by developments in the applied sciences. Hands-free computer solutions are becoming more and more popular these days, especially for people who have quadriplegia. A Human-Computer Interaction (HCI) system that is especially helpful for amputees and other people who might have trouble utilising their hands is presented in this study. Eye motions including blinking, looking, and squinting are translated into comparable mouse cursor operations via the created system's eye-tracking interface, which works similarly to a computer mouse.The gadget under discussion makes use of a regular camera, and it requires Python (3.6), OpenCV, NumPy, and a number of other facial recognition-related apps. The HOG (Histogram of Orientated Gradients) technique may be used to recognise faces by combining the sliding window approach with a deep learning algorithm (CNN) or linear classifier. Because it doesn't require any extra gear or sensors, this system is completely hands-free.

Meme Culture & Mixed Media: The Art of Virality and Human Connections

Saiprasad Shetty — Wed, 30 Apr 2025 00:00:00 +0000

We are living in a world in transition. The experiences that shape our collective memory are highly influenced by media projection. But that influence is not shaped by conventional media alone anymore. It is a mix of many media forms including rather unconventional platforms which I'd rather term as short-attention-span (SAS) platforms like Instagram Reels or YouTube Shorts. These platforms remind us that experience is a factor of memories created, not just attention grab. Popular imagination and the building of pop culture is not shaped by news media or general entertainment channels insofar. In fact, the SAS platforms enable and enhance the reach of content driven from the conventional media. Which brings us to memes. Memes easily transcend languages and timelines. They are driven by any and many sources. It can be a scene from a movie which would be intuitively funny, deeply tragic, explicitly poignant or plain ironic. That scene screenshot becomes a template for a meme and thereby reaches people across the spectrum. All things said, memes do have boundaries too sometimes. Many can have a regional appeal while others may enjoy a pan-India appeal. You can never predict where they will arise from and when they might go viral (one of the most efficient words in recent times). Lastly, memes are a unique form of communication. It has become an effective form of expression on private chat windows (WhatsApp, Instagram DM, FB messenger) or public social media handles (Twitter/X, Instagram, Snapchat). This research paper aims to explore this evolving form of communication and make an attempt at understanding what makes all of us humane – with or without the internet.

Bioinformatics: An Effective Teaching Resource in Biological Sciences

Samir Terdalkar — Wed, 30 Apr 2025 00:00:00 +0000

The world is strongly moving towards technological innovation and every field is undergoing revolutionary changes. Recent years have witnessed emergence of bioinformatics and data science as a necessity in almost all fields including biological science. If we look at the course structure of basic science, bioinformatics teaching hardly finds place in the programme structure specifically at the undergraduate levels. However, bioinformatics can be one of the courses at undergraduate level and it can be used for regular teaching as well. Bioinformatics envisages processing, storing and retrieving biological data. This has been very well supported by the development of algorithms for analysing biological data. Teaching basic bioinformatics as an interdisciplinary course at undergraduate level and making its use in teaching specific topics like genetics and molecular biology will enhance the competency of young graduates. The present paper provides a review of use of biological data and its applications to gain insights in core concepts of biological sciences. It also proves to be a valuable tool in performing sequence alignments, annotation and establishing relationships between different genomes/ species. All these tools taught will help graduates in their academic progression.

A Review of Document Classification Techniques Using Machine Learning and Deep Learning

Sanjay M. Pardhi, Sampada M. Margaj — Wed, 30 Apr 2025 00:00:00 +0000

The study shows different machine learning and natural language processing techniques are used to address fully automated text classification of extensive datasets. The research looks at multiple studies which employ probabilistic models with deep learning approaches and established machine learning methods to identify documents. The discussion evaluates target model advantages against disadvantages while exploring future development paths in order to resolve the need for highly accurate scalable classification systems. This research evaluates how transformer-based models recently developed will affect classification model outcomes.

Globalisation and New Identities: The Cultural Evolution of the Naga Community

Sarah George — Wed, 30 Apr 2025 00:00:00 +0000

Over the past century, the Nagas, a collective of traditionally indigenous communities living in the North East of India, a region that borders Myanmar, continue to experience cultural transformations in their shared culture and identity. The emergence of new cultures and identities that came in with the arrival of Christianity contributed to the fading of their own age-old traditions, oral histories and customs that gave them a unique identity in the subcontinent. In present times, globalisation, modernisation and digitalisation has further transformed their culture and identity as witnessed in the urban centres of Kohima, Dimapur and Mokokchung Town. These hubs of modern life are further evolving the Naga identity as they adapt themselves to new cultural transformations. However, despite the pull towards the creation of drawing out a modern identity, one that has been shaped by global influences, concrete efforts are being made to blend the past with the present. This in turn is enabling the Nagas navigate between their indigenous way of life and at the same time adapting to contemporary ways of expression. The paper examines the ways in which the Nagas are redefining themselves and creating a unique identity for themselves which is a fusion of their traditional practices, their new found faith and the demands of modernity.

Machine Learning for Placement Prediction: A Study Using Weka, Orange, and Simple ML

Siddhesh Kadam, Prabha Siddhesh Kadam — Wed, 30 Apr 2025 00:00:00 +0000

Placement prediction is a crucial application of machine learning in education, helping institutions and students understand employability factors. It enables educational institutions to design effective training programs and assists students in improving their career prospects. This study evaluates the performance of three popular data analysis tools, namely Weka, Orange, and Simple ML, using a publicly available placement dataset. The dataset comprises various features, including academic performance, extracurricular involvement, and technical skills, which play a significant role in determining job placements. The models were assessed based on multiple evaluation metrics, including accuracy, precision, and recall. The findings offer valuable insights into the most effective tool for placement prediction, highlighting strengths, limitations, and potential areas for improvement. This research aims to assist educators, data scientists, and institutions in selecting the most suitable machine learning tool for predictive analytics in placement prediction.

Indian FMCG Industry Sees Boom in Sustainable Packaging: Real Impact or Greenwash?

Steffy Michael Gomes — Wed, 30 Apr 2025 00:00:00 +0000

Sustainable packaging is a trending phenomenon in Indian FMCG companies due to escalating green consciousness among consumers and rising regulations. However, with a number of organizations going green merely on paper by declaring themselves environmentally friendly, greenwashing concerns create doubt regarding its real impact. This article reviews sustainable packaging strategies among Indian FMCG leading brands, reviews financial and environmental reports, and investigates if these strategies are genuine or a form of greenwashing. The research also evaluates consumers' perceptions and regulatory difficulties, providing insights into the future of sustainability in FMCG packaging.

A Multi-Agent Approach to Stock Market Prediction and Risk Management

Anamay Potdar, Dr. Swapnali D. Mahadik — Wed, 30 Apr 2025 00:00:00 +0000

This research introduces a simulated AI trading system that functions as an Agentic AI for individuals, capable of understanding and learning while autonomously performing buying and selling of equities in the stock market. The design of this Agentic AI is based on four key pillars: real-time news analysis to assess market sentiment, chart pattern and technical indicator analysis to predict market trends, supply-demand dynamics evaluation to identify market imbalances, and risk management strategies, such as stop-loss mechanisms, to minimize potential losses. Each of these pillars is implemented as a separate Agentic AI model, integrated through a common communication channel. This channel facilitates message exchange between the pillars, enabling collaborative decision-making. Once consensus is achieved among the pillars, the system executes trades autonomously in the stock market. This research demonstrates how advanced AI technologies can be integrated into an Agentic AI system to create a fully autonomous trading bot capable of analyzing, deciding, and acting in real-time financial environments.

Cyber Crime in India: An Exploratory Analysis and Predictive Study

Anjali Prakashan, Lavina Mistry — Wed, 30 Apr 2025 00:00:00 +0000

The research paper investigates the increasing trend of cybercrimes in India due to rapid digitization. It aims to analyze historical cybercrime data (2016–2018) using machine learning techniques to identify trends and predict future crime rates. The study utilizes datasets from Kaggle, applying Power BI for data visualization and predictive analysis. Key findings indicate that states like Uttar Pradesh, Karnataka, and Maharashtra report the highest cybercrime cases, with a consistent upward trend. The research highlights the effectiveness of machine learning models in forecasting cybercrime rates and suggests integrating real-time reporting and deep learning for improved accuracy.

Analysing the Impact of Irregular Sleep Patterns on Academic Performance Using Machine Learning

Anurag Phalke , Prabha Kadam — Wed, 30 Apr 2025 00:00:00 +0000

Student academic Grades depend on the sleep quality of the student. The research focused on how the duration of sleep affects students' academic grades by using two machine learning models, namely decision trees and random forest classifiers. The data was collected from students who are currently studying in school and colleges. The attributes like sleep duration and academic scores were considered as a parameter for the study. The data pre-processing and correct split into the train and test set was done under the study. The decision tree and random forest implemented on the records set. The comparative study indicated that random forest returned more accurate results than the decision tree.

Fintech Revolution: A Study of Drivers Transforming Financial Services

Atharva Nilesh Kadam , Dr. Ajay Uday Barve — Wed, 30 Apr 2025 00:00:00 +0000

The fintech revolution is more or less reshaping the financial services sector by bringing in digital solutions that optimize efficiency, accessibility, and security. The study discusses how the various fintechs are influencing traditional industries such as banking, payments, lending, insurance, and wealth management. The study adopted a mixed-method approach by undertaking a literature review and a case study analysis. Some highlights of the findings include the benefits of fintech, such as financial inclusion and low-cost transactions, against challenges like cybersecurity and regulations. The paper concludes by proposing possible methods for balancing innovation and risk management in the evolving financial environment.

A Study on Influence of Generative AI on the Future of Internet

Binoy Manmadhan , Monisa Rodrigues — Wed, 30 Apr 2025 00:00:00 +0000

The internet has evolved from its origins as a military and academic communications project initiated by the Advanced Research Projects Agency (ARPA) into a decentralized global network for knowledge sharing, communication, and commerce. Today with the rapid advancements in artificial intelligence (AI), Generative AI the branch of AI capable of producing text, images, videos, and other media—has emerged as a trans- formative force across multiple industries by assisting professionals in various tasks. While this technology enhances content creation and problem-solving capabilities, it also raises concerns regarding misinformation, intellectual property, and the reliability of online information. This paper tries to examine the long-term implications of Generative AI on the quality, authenticity, and credibility of digital content as AI content has started to play a significant role in social media, journalism, and business, this study explores how AI-generated content is blurring the distinction between fake and real, to influence public discourse, and affect the trust in digital information. The growing sophistication and accessibility of AI present both opportunities and challenges for the future integrity of knowledge dissemination on the internet.

Unraveling the Conundrum: Exploring the Challenges of Non-Performing Assets in Indian Banks

Dr. Rahul N. Wadekar — Wed, 30 Apr 2025 00:00:00 +0000

Non-Performing Assets (NPAs) have been a long-standing thorn in the side of the health and efficacy of the Indian banking sector. The buildup of bad loans not only deteriorates the financial wellbeing of banks, but it also diminishes the capacity of the banks to lend, thus frustrating economic growth. This research paper examines the trend, reasons, and effects of NPAs in Indian banks based on secondary data from FY2019 to FY2024. The research compares data from RBI reports, bank financial statements, and other reliable sources to study the impact of NPAs on profitability and capital adequacy. The results present evidence of an improving trend in overall NPAs owing to policy initiatives such as the Insolvency and Bankruptcy Code (IBC) but also emphasize the existing issue in the case of public sector banks caused by systemic inefficiencies. The statistical analysis ensures the presence of strong negative correlation between NPAs and bank profitability ratios like Return on Assets (RoA). The report concludes by proposing stronger credit risk management, early warning, and increased banking independence to effectively deal with the NPA crisis.

Leveraging Artificial Intelligence to Reinvent Enterprise Resource Planning (ERP) Functionality

Swapna Vaze Kadam — Wed, 30 Apr 2025 00:00:00 +0000

With a focus on enhancing organizational effectiveness and fostering innovation, this study explores the transformative impacts of integrating Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems. Drawing on data gathered from an extensive survey involving 300 businesses, the research identifies a direct correlation between AI-enhanced ERP systems and substantial improvements in operational efficiency. Findings reveal a significant 35% enhancement in accuracy and an average 27% reduction in task processing times across various business processes, underscoring the considerable advantages of AI implementation in ERP frameworks. Furthermore, an analysis of 50 businesses integrating AI-driven predictive analytics into their ERP systems demonstrates a notable 22% increase in overall equipment effectiveness and an 18% decrease in maintenance costs. Supporting these findings, comparative research indicates that integrating AI-powered personalized user experiences into ERP systems enhances customer satisfaction by 30%. These quantitative results illustrate the substantial benefits of AI integration with ERP, highlighting its potential to enhance operational efficiency, reduce costs, boost productivity, and elevate customer satisfaction.

Smart Healthcare Systems: Digital Health and Medical 4.0 Integration

Dr. Rasika Mallya — Wed, 30 Apr 2025 00:00:00 +0000

The Fourth Industrial Revolution has the potential to benefit various sectors and industries, but its impact on healthcare will be particularly profound. Medical 4.0 represents the fourth revolution in healthcare, leveraging cutting-edge technologies to drive major advancements. These innovations have progressed rapidly, encompassing everything from mobile computing to cloud computing for wearable and non-wearable sensors. Medical 4.0 reduces the strain on healthcare systems in well-developed nations while improving access to high-quality, comprehensive care in developing countries. This digital transformation enables the electronic collection of patient data, which technology utilizes to enhance disease diagnosis and understanding. Additionally, this data serves as a valuable knowledge base for further research and study. This paper presents Smart Healthcare System with Medical 4.0 framework and knowledge discovery model to manage and analyze healthcare data.

Review on Developing Integrated Water Quality Management Systems Based On GIS and Remote Sensing Mechanism

Dr. Swapnali Mahadik — Wed, 30 Apr 2025 00:00:00 +0000

This paper examines the integration of remote sensing and GIS to monitor water quality indicators such as turbidity, chlorophyll levels, and surface temperature. It highlights how this synergy enhances the identification and management of pollution sources, supporting informed decision modelling for sustainable water resource management. Also emphasizes the need for comprehensive water quality management in river basins, addressing both point and non-point source pollutants. It proposes a distributed simulation model, utilizing GIS to assess pollutant loads based on land use and soil characteristics, aiming to predict water quality at river basin outlets.Even the accuracy of remote sensing-derived data was evaluated using statistical metrics such as Root Mean Square Error (RMSE) and the coefficient of determination (R²), ensuring reliability and robustness of the results. The paper provide valuable insights into the development and application of integrated water quality management systems using GIS and remote sensing technologies.

Blockchain for Secure Big Data Transactions

Ganesh Bhagwat — Wed, 30 Apr 2025 00:00:00 +0000

With the rapid expansion of big data across various industries, ensuring the security, integrity, and transparency of data transactions has become a significant challenge. Traditional security mechanisms struggle to cope with the increasing volume and complexity of data exchanges. Blockchain technology, with its decentralized and immutable ledger system, presents a viable solution to securing big data transactions. This paper explores the integration of blockchain in big data ecosystems, highlighting its advantages, challenges, and real-world applications. It also discusses future directions in the convergence of blockchain and big data security. Through an analysis of contemporary studies and real-world implementations, this research offers an in-depth exploration of how businesses and institutions can integrate blockchain technology to enhance the security and reliability of big data transactions.

Machine Learning Applications in Human Resource Management: Predicting Employee Turnover and Performance

Harsh Patil — Wed, 30 Apr 2025 00:00:00 +0000

Employee turnover is a significant concern for organizations as it impacts productivity, increases hiring costs, and disrupts operations. Predicting turnover is essential for businesses to develop effective retention strategies. Traditional methods, such as HR surveys and statistical analysis, have limitations in accuracy, whereas machine learning (ML) provides a more efficient approach by analyzing employee data. This study compares Decision Tree and Random Forest models to predict employee turnover based on factors like annual salary, monthly salary, and job satisfaction. While Decision Tree models offer interpretability, they may lead to errors, whereas Random Forest enhances accuracy by combining multiple decision paths. The results of this research will assist organizations in identifying at-risk employees, taking proactive measures, and improving workforce stability. Despite its advantages, machine learning in HR analytics faces challenges such as data bias, privacy concerns, and evolving workforce dynamics. The future of turnover prediction lies in real-time data tracking and advanced AI models, enabling businesses to make informed HR decisions and strengthen employee retention efforts. Even with its benefits, machine learning used in HR analytics has pitfalls like data bias, privacy issues, and changing workforce dynamics. The future of predicting turnover comes with real- time data monitoring and more sophisticated AI models, allowing companies to make data- driven HR decisions and enhance employee retention policies.

Privacy-preserving Association Rule Mining: Techniques and Applications

Shreya Bhamare, Dr. Sulakshana Vispute — Wed, 30 Apr 2025 00:00:00 +0000

The goal of privacy-preserving association rule mining (PPARM) is to identify useful patterns in datasets while protecting sensitive data. Protecting privacy is essential in the big data era, particularly when handling private, sensitive, or financial information. Sensitive information may be exposed since traditional ARM algorithms like Apriori and FP-growth do not handle privacy concerns. This paper explores privacy-preserving techniques such as data anonymization, cryptographic methods, secure multi-party computation (SMC), and differential privacy. It examines the trade-offs between maintaining data utility and privacy, addressing challenges like scalability and efficiency. Real-world applications in healthcare, e-commerce, and finance are discussed, highlighting the importance of privacy. Emerging trends aim to develop advanced models that balance privacy with effective data analysis.

Impact of Social Media on the Cultural Perception of Youth

Isha Narvekar — Wed, 30 Apr 2025 00:00:00 +0000

When it comes to the present moment, the internet has established itself as the platform of choice for consumption of information. With social media being at the forefront and having a substantial impact on the youth, there exists a plethora of information in different fields and varieties. This unending supply of information from numerous channels is molding the understanding of people. This document will discuss the effect of cultural regional information made available through social media and the impact of social media on the youths perception. It also looks into how young people comprehend different cultures, traditions, and international relations. A mixed-method approach which includes the use of surveys and qualitative content analysis is deployed to evaluate the level of cultural participation of the youths. The results showed that even though social media increases the scope of culture appreciation and sociocultural understanding, the problems of false information and shallow understanding also prevail. The research reports the possibility of using social media as an educational resource to promote authentic understanding of cultures.

Music Creation Using a Hybrid Model of LLM And LSTM

Kashish Bhatia, Dr. Sampada Malhar Margaj, Dr. Jyotshna Jagdeo Dongardive — Wed, 30 Apr 2025 00:00:00 +0000

Over the years music generation using artificial intelligence and deep learning have undergone lots of progress. There are platforms such as Magneta, MuseNet, Deep Back which incorporates deep learning and LSTM models in their architecture. Along with that platform such as music, riffusion, MIDI which incorporates LLM based learning methods. These models are useful, but there are very few researches which incorporate LLM and LSTM architecture for music generation and improve their individual limitations and combine their strengths. Hence, this will be the major highlight of the research. The LLM based models offer sequential structural richness and LSTM ensures temporal consistency. The approach will involve encoding MIDI sequences into English text format, allowing the LLM to process musical structures with natural language processing techniques. The output is then refined using an LSTM-based decoder to enhance the coherence of note transitions and rhythmic consistency. The hybrid model approaches to discover the potential of combining sequence modelling for improved AI driven music composition, which can make an interesting blend between creativity and machines.

The Digital Divide: A Comparative Study on the Impact of Social Media and OTT Platforms Across Generations

Shubham Vijay Pol, Dr. Ajay Barve — Wed, 30 Apr 2025 00:00:00 +0000

This research investigates how social media and OTT (Over-the-Top) services impacts on various generations. We look into the consequences that rest, social relations, thought processes, attention spans, and the inclination to seek instant satisfaction has on people who are fundamentally immersed in these technologies and compared to others who did not have fundamental access to them. The data was obtained from the surveys and was analyzed concerning the time frame of the behavioural shift upon which the research was focused. The results demonstrate the variances in lifestyle habits particularly in the younger generation who were found to be more disrupted in the sleeping patterns, lower in outdoor activities, and more inclined to instant gratification. This study seeks to understand emerging patterns of digital consumption and their effects in the long term.

Python Based Property Evaluation of Co-Zn Ferrite: Using results of XRD and FTIR

Krutarth Bodas, Sanjana Pradhan — Wed, 30 Apr 2025 00:00:00 +0000

The study focuses on making a new material by mixing different combinations of cobalt, zinc, and iron with sodium hydroxide. These formed materials are known as ferrite. The main goal of this study is to investigate how the properties of synthesized ferrite change as we change the composition. These types of ferrites have practical uses in industries like electronics, magnets, nuclear energy sector, and healthcare. By understanding how various variations in material's composition affect the properties of material researchers can design materials which have higher efficiency and greater longevity. Based on the result of the above study this research presents a further investigation into the analysis of Co-Zn substituted ferrite nanoparticles by applying advanced data analytics using Python. Python allows for statistical evaluation, processing and modeling, as well as visualization of XRD for structural analysis of material and FTIR data for functional group analysis of material. Different aspects of XRD analysis cover the intensity vs. 2Theta spectrum visualization which gives various information about composition of material, identification of peaks, Scherrer methodbased crystallite size estimation, and determination of lattice parameters. FTIR techniques involve spectral peaks identification, functional groups assignment, and an estimation of the material’s band gap. The integration of these technologies provides an improved understanding of spinel phase formation, nanoparticle size distribution, and other structural changes in material. By integrating FTIR analysis, peak detection, functional group identification, and FWHM-based crystallite size estimation, we can obtain better interpretation of experimental data, which leads to enhanced insights into material properties. This procedure contributes significantly to advancing research in nanoscience and the thorough characterization of synthesized materials.

Comparative Analysis of Transformer-Based Models for Patent Summarization

Muhammad Ibrahim Khan, Dr. Sampada Margaj — Wed, 30 Apr 2025 00:00:00 +0000

Patent documents contain critical technical and legal information but are often lengthy and complex, making it difficult for researchers and businesses to extract key information efficiently. This research paper compares the performance of four transformer-based models - PEGASUS, BART, LED, and BigBirdPegasus for abstractive summarization of patents using the BIGPATENT dataset (subset "d" - Textiles; Paper patents), explores the architectural differences among these models, discusses the training strategies used and examines their implications for improving automated patent summarization. Each model was fine-tuned under identical training conditions, using 10% of the training dataset as per the hardware constraints and their performance was evaluated using ROUGE metrics. The results provide insights into which model is best suited for summarizing patent documents efficiently.

Comparative Analysis of Embedding Models for Hindi-English Code-Mixed University related queries

Om Ingale, Dr. Sampada Margaj — Wed, 30 Apr 2025 00:00:00 +0000

This study presents a comparative analysis of open source embedding models for developing a understanding Hindi-English code-mixed language on university related questions. With the increasing adoption of conversational agents in Indian higher education institutions, there is a need for systems that can effectively process queries containing mixed Hindi and English language elements. This research evaluates the performance of five state-of-the-art embedding models - MuRIL, IndicBERT, XLM-RoBERTa, mBERT, on a custom dataset of university-related Hindi-English code-mixed queries. These models were assessed across key metrics including intent classification accuracy, entity recognition performance, and computational efficiency. The results indicate that MuRIL consistently outperforms other models, achieving 87.3% intent classification accuracy and 84.2% entity recognition F1-score, representing a 12.8% improvement over the other models. Analysis across varying code-mixing levels reveals that MuRIL maintains robust performance even with high mixing indices, while other models show significant degradation. This research provides practical insights for educational institutions seeking to implement linguistically inclusive chatbot systems and contributes to the growing body of knowledge on multilingual NLP applications in educational contexts.

Malware Detection: Binary Visualization of Executables Applying Neural Networks

Pranav Santosh Dalvi, Dr. Apurva Yadav — Wed, 30 Apr 2025 00:00:00 +0000

Malware detection and recognition would function as cyber threats. Understanding that it includes zero day exploits, code obfuscation, and therefore it would be like Role Malware- detection Indicators. Under Cyber security concerning multiple threat models like zero-day exploits and code obfuscation. Study at present on this condition recognizes grouping binary-visualization with the application of machine-learning. Here Code is used to convert their executable files into images. Models like convolutional neural-networks (CNNs) and self-organizing incremental neural networks (SOINN) process and understand these images, where hidden patterns of malware can be learned and recognized using images. It understands that for achieving classification accuracy, it has to find such extraction techniques that include region-based analysis along with histogram development. Model has been trained and tested so as to put the robust performance evaluation to test through its use on a dataset that contains malware mixed with benign executables. Study or approach gives hundred percentage accuracy when seeking different types of malicious programs using various benign software instead of typical ways to evaluate and identify malicious programs. The Future Study in the AI concept regarding malware detection is image-based that helps to evaluate the effectiveness for getting executable files.

Genetic Algorithm-Based Optimization for Scheduling Problems

Pritam Warke — Wed, 30 Apr 2025 00:00:00 +0000

Scheduling problems are critical in various domains, including manufacturing, cloud computing, and transportation. Traditional scheduling techniques often struggle to achieve optimal solutions due to computational complexity. Genetic Algorithms (GAs), inspired by natural selection, offer an effective soft computing approach for optimizing scheduling problems. This paper explores how GAs can improve scheduling efficiency, discusses real-world applications, and identifies challenges in implementing GA-based scheduling. Future research directions in hybrid AI models and adaptive GAs for dynamic scheduling environments are also highlighted.

Voices of War: A Feminist Perspective of Arab Women in Contemporary War Films

Rajwardhan Jaydeep Sathe, Abhishek Bhagwat Shinde — Wed, 30 Apr 2025 00:00:00 +0000

This research paper delves into how Arab women are portrayed in the context of war, with a particular focus on two films: Mosul (2019), directed by Matthew Michael Carnahan, and The Swimmers (2022), directed by Sally El Hosaini. Using a gendered perspective that incorporates feminist narratology, postcolonial theory, and trauma studies, the study investigates how women's voices, experiences, and emotional realities are depicted on screen during times of armed conflict and forced migration. It critically analyzes the concept of narrative authority who tells the story and from which viewpoint highlighting how this influences the visibility or invisibility of women in war cinema. The research indicates that although Mosul is closely tied to the Arab world and shares a meaningful narrative from the perspective of the Iraqi military, it tends to overlook women, presenting them only as victims of violence. Conversely, The Swimmers, directed by an Arab-British woman and inspired by the true stories of two Syrian sisters, elevates female voices, offering a more intimate, nuanced, and emotionally impactful representation of women's strength and suffering. By examining these two films, the paper emphasizes the need for culturally aware and gender-sensitive storytelling in visual media. Ultimately, this research calls for a more inclusive approach to cinema that acknowledges the emotional depth and lived experiences of Arab women in conflict zones.

Impact of Power Naps on Cognitive Performance and Learning Efficiency: A Data-Driven Study

Yashvant Sathe, Dr Akshata Abhishek Nayak — Wed, 30 Apr 2025 00:00:00 +0000

Sleep plays a critical role in cognitive function, memory retention, and learning efficiency. While full-length sleep cycles are widely studied, the impact of power naps on cognitive performance remains an area of growing interest. This study investigates how short naps influence attention, problem-solving ability, and overall learning efficiency using a data- driven approach. Data is collected through controlled experiments, wearable sleep trackers, and cognitive performance tests administered before and after napping. Machine learning models, including Random Forest and Support Vector Machines (SVM), are employed to analyze correlations between nap duration, sleep quality, and cognitive improvements. Preliminary findings suggest that 20-30-minute power naps significantly enhance focus, reaction time, and memory recall, particularly in students and working professionals. The study provides valuable insights into optimizing nap schedules for improved productivity and learning outcomes, with implications for educational institutions and corporate environments.

A Study on Impact of Balsanskaar Varg and Kishori Varg Programs on Mumbai’s Vasti’s Communities: An RSS Jankalyan Samiti Initiative

Krishna Sandeep Choube, Parimal Satish Singh, Dr. Parikshit Mahankal — Wed, 30 Apr 2025 00:00:00 +0000

With a visit facilitated by RSS Janakalyan Samiti, we witnessed the Vasti Parivartan Yojna making an impact at various Mumbai Vastis. What we noticed at the time was two initiatives, specifically Balsanskaar Varg, which works with kids between the ages of 6 to 12 through the use of moral stories, activities, and value education; and the Kishori Varg, which works with teens between the ages of 13 to 18 through leadership, career, and life skills training. We interviewed children, parents, local facilitators (affectionately referred to as Tai), and volunteers, along with direct observation, in eight Vasti communities. What you saw was nothing short of inspiring children becoming more self-assured, disciplined, and socially conscious. Parents reported improved behaviour at home, and renewed interest at school. Although the issues of limited access to resources remain, the effect of the programs is undeniably transformative. With greater community support, along with institutional support, these programs can positively change many more lives in Mumbai’s Vastis.

The Impact of Sleep Patterns on the Academic Performance of Undergraduate Students: A Behavioral and Cognitive Study

Himanshu J. Dhide TYCS, Sneha S. Choudhary SYCS , Dr. Akshata A. Nayak — Wed, 30 Apr 2025 00:00:00 +0000

Sleep is Crucial to Cognitive Function, Academic Performance, and General Well-being. In this study, the sleeping habits of undergraduate students and their effects on academic performance were examined. Data from undergraduate students of different colleges were collected through a questionnaire that addressed sleeping duration, bedtime routines, academic performance, and the perceived influence of sleep on study effectiveness. The study reveals that a significant proportion of student sleeps less than the recommended 7–8 hours nightly, with most of them going to bed after 11 PM. There was a high correlation between inadequate sleep and greater difficulty in waking up, feeling tired during lectures, resulting in reduced attentiveness in the classroom, and poorer perceived academic performance. Moreover, the students who reported getting an adequate amount of sleep scored higher GPAs and demonstrated improved time management of assignments and class participation. The study emphasizes the role of sleep hygiene in academic performance and stress management. It stresses the necessity of awareness programs, which will enable students to learn about the advantages of healthy sleeping habits to enhance their academic performance and overall well- being.

RFID-Based Attendance Management System Using ESP32 and Google Sheets

Dr Apurva Yadav, Pradhnesh Dalvi , Harshal Juwale — Wed, 30 Apr 2025 00:00:00 +0000

This paper introduces the development and design of an RFID-Based Attendance Management System Using ESP32 and Google Sheets to improve accuracy and efficiency in taking attendance at educational institutions. Conventional attendance mechanisms, including paper records and manual roll calls, are inefficient, prone to errors, and vulnerable to fraud. To counter these factors, this system utilizes RFID technology to mechanize attendance marking and provide a smooth, secure, and real-time solution. The system comprises RFID readers and tags, with an ESP32 microcontroller that handles attendance data and uploads it to Google Sheets for cloud storage and management. This integration provides real-time monitoring, convenient access, and improved organization of data for faculty and administrators. The automated system saves the manual work, minimizes human errors, and ends proxy attendance, thus being a more scalable and reliable option compared to traditional methods. Meant to be affordable, portable, and easy to use, this smart attendance system is tailored for academic institutes as well as commercial businesses. Having used cloud-based management, it promises effective record-keeping, secure data storage, and improved accessibility, thereby overall enhancing attendance tracking and institutional productivity.