Volume 14 | Issue 4 |

 Abstract

This project presents the design and Implementation of a Smart Solar Wireless Power Bank with Adaptive Screen Management for Enhanced Energy Efficiency. The primary objective is to develop a sustainable and portable charging solution that harnesses solar energy and delivers it wirelessly to mobile devices. The system utilizes a high-efficiency Solar Panel to capture solar energy, which is then stored in a Lithium-ion battery through a TP4056 charging module. To address the common issue of energy wastage in power bank indicators, this project introduces an Adaptive Screen Management system using an Arduino microcontroller and an LDR sensor. This system automatically adjusts the brightness and operation of the LED Display based on ambient light conditions and battery status, significantly reducing unnecessary power consumption. The wireless power transfer is achieved using the principle of Inductive Coupling, allowing users to charge their devices without the need for physical cables. This integrated approach not only promotes renewable energy usage but also maximizes the overall efficiency of the power bank through intelligent energy management and low-power display technology

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 Keywords

Solar Power Bank, Wireless Charging, Adaptive screen Management ,Energy Efficiency, Android Application, Renewable Energy ,Power Management System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Petrol Pump Workers, BTEX Exposure, Respiratory Function, Single Breath Count, Breath Holding Time, Occupational Health

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When discussing the literature of South Asian women, the diaspora's concerns tend to overshadow those of those who live in their home cities. There is still much to learn about internal migration and feeling uprooted in one's own nation in scholarly circles. Characters also suffer alienation and the need for home, for which they travel home in order to find resolution. Numerous scholars have investigated how characters suffer estrangement as a result of being uprooted, moving to a new location for socioeconomic reasons, or fleeing persecution because of their ethnicity or religion. However, it doesn't appear that many scholars have taken an interest in the internal diaspora perspective. By focusing on a south Asian woman writer and how her work contextualizes the issue of diaspora in an Indian setting, this study aims to close that gap. This paper suggests reading The God of Small Things by Arundhati Roy in the context of the diasporic tradition, which clarifies the idea of internal migration for a variety of socio-cultural and ethnic causes. This essay argues that such depictions of internal migration capture the harsh reality of the Indian state, where migration has become a gloomy part of peoples' lives due to a variety of factors. It would make an effort to map the many diasporic components that the characters encounter and embody in various settings that mirror the heterogeneous realities of Indian culture.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diaspora, internal migration, ethnic, Bi-sexual, transgender

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The "Internet of Things" (IoT) is a network of computers that can work and interact with each other without needing a person to do anything. It is one of the most fascinating areas of computing right now since it can be used in so many different fields, including cities, homes, wearable tech, vital infrastructure, hospitals, and transportation. IoT technology brings advantages like little human intervention, being cheap, and being easy to set up. However, its extensive use also brings up problems with security and scalability. In order to demonstrate how frequent vulnerabilities are in software-based IoT background and the risks they represent to significant applications, new IoT security events are analyzed in this study. So, it is necessary to examine new security modules based on Machine Learning (ML) and Intrusion Detection (ID) software based on Deep Learning (DL), considering them as flexible pieces that can be added to IoT system topologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords-- IoT Protocol, Architecture, Security Attacks, Security Threats, IoT architecture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing scale of digital recruitment has made manual resume screening inefficient, time consuming, and prone to bias. This paper presents an AI-Based Resume Scanner that employs Natural Language Processing (NLP) and Machine Learning (ML) for automated candidate shortlisting. The system extracts, parses, and analyzes resume content using TFIDF, cosine similarity, and transformer-based models like BERT to compute job-candidate matching scores. A Python-based backend handles text preprocessing and classification, while a React- Node.js interface provides seamless real-time interaction. By integrating contextual understanding and explainable AI (XAI) features, the system reduces human intervention while maintaining fairness and transparency. Experimental validation and literature evidence indicate up to 70% improvement in screening efficiency and notable bias reduction. The proposed approach demonstrates how AI-driven automation can enhance recruitment quality, accelerate decision-making, and support equitable, data-driven talent acquisition.

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 Keywords

Resume Screening, Artificial Intelligence, Natural Language Processing, Deep Learning, Recruitment Automation, Emotion Recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Geriatric population is defined as an age of 60 and above. The study focuses on analyzing the successful and quality ageing of geriatric population. Ageing is a complex phenomenon, needed and effective and functional efforts to bring out the quality and success. Quality of life which is a multi dimensional approach can ensure success and improvement. The main objective of the study is to examine the social, emotional and psychological problems or factors influencing the geriatric population and to analyze the quality of life among respondents in old age home and home based care. The study follows descriptive research design and it is based on both primary and secondary data collected from 60 respondents using structured questionnaires. Secondary data was collected from journals, articles and books. The findings reveal that the quality of life among the geriatric population is mostly satisfied and engaged in social activities. The support is provided from the institution and the family for their success and improvement. It helps to promote better lifestyle and engagement. No one feels as a burden in their mind, easily maintaining friendship and effort to take care of it. The respondents have the acceptance in their incidents, getting valued from their family and promoting their interest and hobbies. Mostly respondents spend time with their grandchildren and have positive feeling about themselves and some of the respondents faces alcohol issues and hyperactivity or agitation

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quality of life, Geriatric population, social work intervention

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract In Ruth Reichl's For You, Mom, Finally, food is not initially constructed as a comfort object. Instead, it is constructed within a context that is marked by confusion, unease, and emotional distance. This makes it different from other forms of food writing, where food is typically constructed as a comfort object. However, as the story progresses, a different meaning begins to emerge. This is because, through recollections, letters, and everyday events, Ruth gradually gets to know her mother's life and starts to look at things differently. This means that food becomes a way of looking at her mother's life again, not to relive it, but to look at it more clearly. The paper argues that such a change in meaning can be seen as a form of "repair." This is because, although the relationship is not repaired, a different kind of repair happens, not through action, but through looking at things differently. Within such a context, recipes move beyond their function and become a part of how memory is constructed. Such a perspective on For You, Mom, Finally suggests that culinary memoirs can be understood differently. This is because they also allow for a range of other readings, such as those that include discomfort, uncertainty, and unresolved emotions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Culinary memoir, food studies, memory, mother-daughter relationship, Ruth Reichl, repair

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract This study examines the role of V6 News, a Telugu-language news channel launched in 2012, in shaping regional journalism during and after the Telangana statehood movement. The channel emerged as a distinct voice representing Telangana's cultural and political identity at a time when mainstream media was perceived to inadequately cover regional perspectives. This paper analyses V6 News's flagship programme, Teenmaar Varthalu, as a case study in vernacular journalism's effectiveness in rural communication. Drawing on scholarly literature on media sociology, regional language journalism, and movement studies, the research explores how the channel navigated the intersection of political activism, cultural representation, and commercial media operations. The study contributes to understanding how regional language media in India function as both chroniclers and participants in social movements, particularly in rural and semi-urban contexts.

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 Keywords

Keywords: Telangana Movement, Regional Language Journalism, V6 News, Teenmaar Varthalu, Rural Media, Political Communication, Indian Media Studies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rising population and climate shifts are putting growing strain on land, ecosystems, and agriculture, a trend expected to worsen. Although hybridization and genetic engineering have enhanced productivity in select food grains, these interventions inadequately address nutritionally balanced food requirements. Contemporary dietary patterns provide insufficient essential nutrients, contributing to deteriorating public health and degenerative diseases. There exists an urgent imperative to make available scientifically validated food derived from locally available wild and non conventional edible plants. Their cultivation offers multiple co benefits - conservation of local biodiversity, gainful employment, carbon dioxide sequestration, and in situ rainwater conservation. While botanical explorations have documented the diversity of edible plants in India, existing information on wild edible species remains substantially incomplete [3]. This study proposes a scientifically designed cultivation model for wild, non conventional edible, nutritionally important, and medicinal plants. Implementation across forest and barren lands would address food and medicine demand while facilitating carbon sequestration, wasteland utilization, and biodiversity conservation through domestication creating gene pools for future breeding programs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wild edible plants, non conventional agriculture, biodiversity conservation, carbon sequestration, nutritional security, sustainable cultivation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Student dropout and declining mental health are major challenges faced by educational institutions worldwide, leading to academic underperformance and decreased student well- being. This study proposes an AI-powered intelligent system for the early prediction of student dropout and provision of personalized mental health counselling. The system integrates machine learning algorithms to analyze multi-dimensional data, including academic performance, attendance records, online engagement patterns, and socio-demographic information, to identify students at risk of dropout. Simultaneously, it applies natural language processing (NLP) and sentiment analysis to evaluate students' psychological well-being based on survey responses, messages, and activity logs. The system presents the results via a comprehensive dashboard for educators and administrators, highlighting high-risk students and providing actionable recommendations for timely intervention. Experimental results demonstrate the system's high predictive accuracy in identifying at-risk students and its effectiveness in monitoring mental health trends.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Student Dropout Prediction, Mental Health Counselling, Machine Learning, Natural Language Processing, Early Warning System, Educational Data Analytics.

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Creative Commons Attribution 4.0 and The Open Definition