Volume 13 | Issue 5 |

 Abstract

This study explores consumer awareness and preferences regarding cold pressed oils in Coimbatore. With rising health consciousness, many individuals are shifting from refined oils to traditional cold pressed options due to their natural and nutritional benefits. Findings reveal that most consumers learn about cold pressed oils through family and use them mainly for cooking. Health benefits are the main purchase driver, while price and availability play a smaller role. As awareness grows, this sector is expected to thrive and challenge chemically refined oils, pushing brands toward healthier, more natural alternatives.

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 Keywords

Cold Pressed Oil, Consumer Awareness, Health Benefits, Traditional Methods, Edible Oil Market.

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 Abstract

Rajkamal Chaudhary is good at depicting social reality in the mirror of literature. After extinguishing these stories, we all need to know that the world is not limited by the social boundaries, it should be visible to us.All people and all classes in the society are good. Such and such incidents happen, which cannot be imagined. Along with harsh criticism, Rajkamal Choudhary selected the hidden ironies and gruesome incidents from the social strata for his Maithili story.This Maithili story-literature presents the real image of Mithila of that time. His creative content, society and his personal life are influenced by that society.The voice of opposition to the then corrupt political system, misgovernance, justice, Dalit exploitation, women exploitation and opportunism is clearly visible in Rajkamal Chaudhary's fiction.

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 Keywords

Fiction, subject matter, grotesque, women's consciousness, Dalit consciousness, polygamy.

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Stroke is a major cause of disability and death globally, and it requires early and precise detection for timely intervention. Machine learning (ML) provides promising potential in predicting stroke risk based on complex and heterogeneous medical and lifestyle information. This research investigates the effectiveness of Extreme Learning Machine (ELM) and Random Forest (RF) algorithms in stroke prediction, taking advantage of their individual strengths. ELM, being for its quick training speed and high precision with low computational cost, is best appropriate for large data. RF, a stable ensemble approach, guarantees consistent classification by eliminating overfitting and detecting non-linear relations well. Based on a publicly accessible medical data set with attributes like age, gender, lifestyle, and health indicators, we compare and analyze the performance of ELM and RF. The suggested ELM model shows better accuracy and quicker training time, making it a suitable option for real-time systems. The RF algorithm supports this by having high interpretability and stable performance on different test cases. Our results indicate the potential of combining these approaches to improve stroke prediction systems, achieving a balance between computational efficiency and predictive accuracy. This work is intended to contribute to the construction of intelligent, data-driven healthcare solutions supporting early diagnosis and better patient outcomes. Through the combination of these approaches, this research points to the potential of hybrid methods in enriching stroke prediction systems. These systems can play a big role in nearby detection, customized treatment planning, and better patient outcomes, setting the stage for intelligent, data-driven healthcare solutions that are scalable and effective

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 Keywords

Stroke prediction, machine learning, Extreme Learning Machine (ELM), Random Forest (RF), classification models.

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 Abstract

The legal landscape of India is characterized by a complex interplay between personal matters and religious affiliations, known as personal law. This system, governing crucial aspects of individuals' lives such as marriage, inheritance, and adoption, draws heavily from religious scriptures and customs. While it allows for the preservation of cultural traditions, it also perpetuates gender inequalities inherent in certain religious texts, creating a bias against women. Despite the diversity of religious practices in India, only Hindu personal laws are codified into national statutes, leaving other religious communities to rely on their respective religious texts. This lack of uniformity has prompted debates over the need for a Uniform Civil Code (UCC), which would apply secular laws to all citizens regardless of religion. Such a code has the potential to address gender disparities and promote true gender equality by dismantling discriminatory practices embedded within personal laws. While codification of religious laws remains an option, the UCC represents a more progressive approach to achieving gender equality in contemporary Indian society.

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 Keywords

Personal law, codification, women's rights, uniform civil code (UCC), secular law, minority rights, legal reform

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's cloud-first enterprise environment, the adoption of Software as a Service (SaaS) applications is rapidly accelerating, enabling organizations to optimize operations, enhance scalability, and reduce IT overhead. However, as businesses increasingly depend on multiple SaaS solutions, seamless integration between these platforms becomes a critical challenge due to heterogeneous APIs, inconsistent data formats, and security complexities. This thesis presents the design and implementation of a scalable SaaS integration framework tailored for cloud-based enterprises. The proposed framework leverages modern web technologies such as Angular for the frontend, Node.js and serverless functions for backend processing, and RESTful APIs for inter-application communication. It incorporates a modular architecture that supports real-time event handling, OAuth 2.0-based authentication, and dynamic integration workflows between popular SaaS platforms such as Google Sheets and Slack. A working prototype was developed and evaluated in real-world integration scenarios, demonstrating low-latency communication, robust error handling, and user-friendly configuration via an Angular dashboard. The results indicate that the proposed system offers a flexible, secure, and cost-effective solution for enterprise SaaS integration. The framework is extensible and can be adapted to support additional services with minimal effort, making it suitable for organizations seeking automation and interoperability in a cloud ecosystem.

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 Keywords

saas, engineering, technology

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The lines between environmental ethics, technology advancement, and human cognition are increasingly blurring in today's society as the twenty-first century ushers in the era of artificial intelligence. With a literary analysis of Peter Brown's The Wild Robot (2024), this paper, "A Study of Environmental Consciousness through the Prism of Neuropsychology: Establishing Interconnectedness of Cognitive Ecology and Anthropomorphism using The Wild Robot," attempts to investigate a convergence through an interdisciplinary lens that integrates eco-criticism, technological ethics, and neuropsychology. This study offers a thought-provoking paradigm by allowing literature to serve as a link between seemingly unrelated fields. It asks whether AI can not only imitate but also embody ecological conscience, and if so, whether it can undermine the anthropocentric framework of sustainability.A modern speculative model for post-human empathy and moral growth, Roz, the AI lead in Peter Brown's The Wild Robot, blurs the distinction between artificial intelligence and natural sentience. Fundamental problems are raised by her transition from a utilitarian machine to an ecological steward: In a future where technology might have emergent consciousness, who is responsible for ethics? Can digital empathy and neural mirroring reprogram human cognition to care more deeply about the environment? The research views children's cognitive development through literature in a technologically saturated environment as both a risk and a radical potential for envisioning ecological futures, drawing on neuropsychological studies on mirror neurons and digital engagement. By exploring the pedagogical and psychological effects of literature and technology on children's cognitive development, the study suggests a paradigm shift that will make sustainable development an interdisciplinary necessity rather than a multidisciplinary problem. In summary, the paper offers an analysis of how to create a new world order based on the conscious coexistence of technology and ecosystem, rather than just anthropocentric human dominance. It is not just a critique of the way society is currently developing; it is also a manifesto for the interdisciplinary integration of literary imagination, environmental sustainability and responsibility, and ethical AI advancement.

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 Keywords

Artificial Intelligence (AI), Ecocriticism, Technological Ethics, Neuropsychology, Sustainability,Empathy, Interdisciplinary

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 Abstract

Vectors are one of the indirect modes of disease transmission which accounts for 17% of infectious disease causing 7 lakh death annually. Among vectors mosquitoes constitutes the most important single family of insects from the stand point of human health. They are found all over the world. The four important groups of mosquitoes in India which are related to diseases transmission are Anopheles, Culex, Aedes, and Mansonia. Commercial mosquito repellents contain N, N-diethyl-3-methylbenzamide (DEET) which has shown strong protection from mosquitoes but exerts toxic reaction under some circumstances in different age groups, hence alternative new products need to be explored. Vitex negundo, commonly known as the five-leaved chaste tree or "Nirgundi" in Ayurveda, is a medicinal plant widely known for its insecticidal and mosquito-repellent properties. Its ability to repel mosquitoes is attributed to its bioactive compounds, which act as natural repellents.

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Mosquito, Repellent, Vitex negundo

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Individuals with hearing impairments often struggle to recognize essential environmental sounds and distinguish familiar voices, affecting their safety and communication. This paper introduces HearMate, an assistive mobile application designed to enhance sound awareness by integrating real-time sound recognition and user voice identification. The system classifies critical sounds such as alarms, glass breaking, baby cries, and speech cues, while also deter- mining if a voice belongs to a known individual. Utilizing TensorFlow Lite (TFLite), the application processes audio locally, ensuring low-latency detection without continuous internet dependency. HearMate is compatible with smartphones and wearable devices, providing instant alerts and allowing users to customize notifications for different environments. Performance evaluation focuses on accuracy, response time, and user adaptability, demonstrating its potential to improve safety, independence, and communication for the deaf and hard-of-hearing community.

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 Keywords

Machine Learning, Sound Recognition, Hearing Assistance, Android Application, Smartwatch Integration, Real-Time Alerts.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores lean manufacturing practices in the automotive division of Leggett & Platt, focusing on waste reduction, process efficiency, and employee involvement. Data collected through a structured questionnaire highlights common wastes such as overproduction and waiting, along with the use of lean tools like 5S, Kaizen, and Value Stream Mapping. Findings reveal gaps in training and inconsistent tool usage across departments. The study recommends improved training, tool integration, and employee engagement to enhance lean implementation and support continuous improvement in productivity and cost efficiency.

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 Keywords

Lean Manufacturing, Automotive Industry, Waste Reduction, 5S, Kaizen, Value Stream Mapping, Continuous Improvement, Employee Involvement, Process Optimization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The colonization of India by the British Empire brought significant political, economic, and cultural transformations. Among the most deeply affected were Indian women, whose lives and identities were restructured under colonial modernity. The colonial project, justified through civilizing rhetoric, reshaped gender roles, initiated reformist interventions, and gave rise to a new middle-class ideal of womanhood. This research explores the complex interplay between colonial structures and the status of Indian women between 1800 and 1947. It examines how colonial ideologies, social reforms, and emergent nationalisms impacted women's lives, leading to both constraints and avenues of empowerment. In analyzing the development of a gendered middle-class identity, the involvement of women in the freedom struggle, and the socio-cultural representations of femininity, this paper shed light on the dynamic roles women played as both subjects and agents in colonial India. The story of Indian women during this period is not simply one of subjugation; it is one of resistance, negotiation, and transformation within a system that sought to define their roles without their consen

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 Keywords

#british colonisation #women struggles #social reforms #women in Indian society

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Creative Commons Attribution 4.0 and The Open Definition