Volume 14 | Issue 3 |

 Abstract

K R Meera's Yudasinte Suvishesham offers a radical reinterpretation of the biblical narrative of Judas Iscriot, portraying him not as a simple traitor but as a complex, morally ambiguous human being. This paper examines K R Mera's Yudasinte Suvishesham through the twin lenses of existentialism and psychoanalysis to explore the interwoven themes of betrayal, guilt, and the human condition. Through an existential lens, Judas's internal conflicts and choices are analysed as reflections of freedom, ethical dilemmas, and the burden of personal responsibility. Simultaneously, a psychoanalytic approach highlights the psychological dimensions of guilt, repression, and unconscious drives that influence his behaviour and interactions with others. By combining these perspectives, the study analyses how Meera challenges traditional moral binaries, situating betrayal as both a deeply human condition and a site of ethical and psychological complexity. The paper ultimately argues that Yudasinte Suvishesham not only reconstructs biblical narratives but also offers profound insights into human fallibility, conscience, and the existential struggles inherent in moral decision-making.

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 Keywords

Judas Iscariot; Existentialism; Psychoanalysis; Betrayal; Guilt; Human Condition; Malayalam Literature; Biblical Rewriting

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Agricultural marketing systems often involve intermediaries that significantly reduce farmers profit margins and limit their direct access to consumers. The lack of an integrated, real-time digital marketplace frequently causes pricing inefficiencies, delayed transactions, and restricted visibility of agricultural products. In order to collect, manage, and present farm product data from multiple sellers through a unified platform, this study proposes a Mobile App for Direct Market Access for Farmers. The system uses cloud-based database technologies and secure authentication mechanisms to manage product listings, inventory updates, and order processing efficiently. The proposed application provides category-based browsing, real-time synchronization, and seamless cart management to assist both farmers and buyers. The technology enhances pricing transparency, improves direct communication between stakeholders, and accelerates decision-making in agricultural trade.

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 Keywords

Direct Market Access, Mobile Marketplace, Cloud Computing, Smart Farming, E-Commerce in Agriculture, Real-Time Database, Flutter, Firebase

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Bipolar disorder is a chronic and debilitating psychiatric illness characterized by recurrent episodes of mania and depression, significantly affecting an individual's emotional stability, cognitive functioning, and quality of life. Accurate diagnosis remains challenging due to symptom overlap with other mood disorders and reliance on subjective clinical assessments. This study presents a clinically driven deep learning framework for the automated prediction of bipolar disorder using a structured, symptom-based dataset reflecting common psychiatric indicators. Three deep learning models--Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM)--were designed and evaluated to analyze behavioral and clinical symptom patterns. Standard preprocessing techniques, including normalization and train-test splitting, were applied to ensure reliable model performance. The predictive capability of each model was assessed using classification accuracy and confusion matrix analysis. Results demonstrate that deep learning approaches effectively model complex clinical relationships within psychiatric data. The ANN model achieved the highest predictive accuracy, indicating its suitability for tabular clinical datasets. This work emphasizes the potential of deep learning as a supportive clinical decision-making tool for early bipolar disorder screening and improved mental health assessment.

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 Keywords

Artificial Intelligence, Deep learning, Psychiatric Illness, Bipolar Disorder, Mental health.

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Creative Commons Attribution 4.0 and The Open Definition

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S??khya's Philosophy, Yogic Path

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This paper is about cross-domain sentiment analysis for product reviews. People write reviews for products like electronics, books, and clothes on websites like Amazon. Sentiment analysis helps to find whether these reviews are positive, negative, or neutral. But sometimes, there are not enough labelled reviews in one domain to train the system. So, cross-domain sentiment analysis uses data from one domain to help another domain. In this paper, a web based system is implemented that collects reviews, processes text using NLP techniques, and classifies the sentiment using machine learning models. This helps to understand customer opinions and improve decision-making for products across different domains. Additionally, the system integrates an AI-powered chatbot that interacts with users in real time, answers queries about products, provides sentiment summaries, and guides customers in exploring product feedback efficiently.

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AI Chatbot interaction, Cross-domain sentiment analysis, Machine learning models, Natural language processing

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Creative Commons Attribution 4.0 and The Open Definition

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Cinnarizine, Dimenhydrinate, Orodispersible, SSG, Crospovidone

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social Media Ke Prabhav Se Hindi Media Ki Bhasha Me Badlav

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Social Media Ke Prabhav Se Hindi Media Ki Bhasha Me Badlav

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The two novels The Handmaid's Tale and Brave New World display their female characters which demonstrate how societies treat women as objects while governments use psychological techniques to dominate their populations. The two novels create two different dystopian societies which control female bodies through different time periods and locations to maintain their political power. The research investigates how women establish their identity through Gilead's religious authoritarianism and World State's technological hedonism which serve as two independent identity-building systems. The study uses feminist theory together with surveillance and biopower theories and trauma theory to study how systems of oppression function through two methods which operate as external conditioning and internalization of power systems. The Handmaid's Tale presents women as existing mainly for reproduction purposes while the heroine's fragmented narration shows how objectification damages women's emotional states. Offred's disjointed storytelling together with her broken memories show how traumatic experiences change a person's identity during times of oppression. The Brave New World society has created a system which permits women to seem socially self-sufficient while their inner feelings and desires undergo training to match established social norms.

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 Keywords

Female Objectification; Dystopian Fiction; Feminist Literary Criticism; Biopower; Psychological Control; Trauma; Gender Identity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For the good and efficient operation of the Indian Parliament, some unique rights have been given. These benefits enabled the elected members of parliament to do their duties more effectively, self-assuredly, and without needless intervention. In this review study, the researcher will analyse the meaning and genesis of the idea of parliamentary privilege. The researcher will also discuss the ways in which India and a few other countries have used parliamentary privileges. In order to ascertain how legislative privileges in India differ from those in the United Kingdom and the United States, the researcher will employ a comparative method when examining the issue. Since various nations have distinct laws governing parliamentary privileges and immunities, the laws of privilege in nations with continental systems, like France, Britain, and Australia, are pertinent when examining the theory of parliamentary privilege. Furthermore, like South Africa, India is an ancient democracy with a three-tiered structure of governance. The author has used comparative research analysis in this work to assist evaluate and analyse the scope of India's parliamentary privileges and immunities.

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Parliamentary Privilege, Democracy, Member of Parliament,

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Creative Commons Attribution 4.0 and The Open Definition

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The Indian Real Estate Industry is contributing greatly towards the development of the economy by supporting other associated sectors. Delhi/NCR is a prime example of an excellent type of influential Real Estate Market that is dynamic in nature. The factors that have greatly affected the Real Estate Market include urbanization, innovations, changing consumer behaviours, etc. In addition, the study aims at assessing the future trends of the Real Estate sector in Delhi/NCR. It would highlight the key factors that affect its development. The analysis will incorporate this descriptive analysis along with some of the understanding derived from both primary and secondary sources of information. The primary information for this analysis was collected through a well-structured questionnaire intended for the developers within the Delhi NCR region. This was done to gather their views about demand trends, market stability, infrastructure, and their usage of technology and sustainability. The secondary information for this analysis was obtained through means such as published reports and documents accessible within government sources across various internet platforms. The findings bring into view that the enhancement pertaining to the road's connectivity, transparency at regulations, and strong demand at the end user level play a very important role in the direction to the enhancement seen in the Delhi NCR region. The study also highlights a continuously rising interest seen on affordable housing, medium level of income housing, higher adoption towards the application of technology, and focus on Green Buildings/development. The Commercial Real Estate segment also shows signs of enhancement with flexible offices and higher technology. The overall conclusion drawn in this study is that for a region such as Delhi NCR, where this report was generated, there are huge growth opportunities for a proper and well-thought-out growth pattern, subject to an appropriate and proactive response to upcoming policies and adaptability to new technologies and tastes and preferences.

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 Keywords

Urbanization Consumer Behavior Infrastructure Development Affordable Housing Sustainable Development Green Buildings Commercial Real Estate Market Trends and Growth Technology Adoption in Real Estate Regulatory Transparency Demand Analysis Primary and Secondary Data Future Trends

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Creative Commons Attribution 4.0 and The Open Definition