Volume 14 | Issue 3

 Abstract

Industrial safety remains a critical concern in manufacturing and construction environments worldwide. Despite stringent regulations and advanced protective equipment availability, workplace accidents continue to occur due to non-compliance with Personal Protective Equipment (PPE) usage. This paper presents "InduSafe Vision" - an intelligent, automated worker-aware industrial safety and compliance monitoring system that leverages cutting-edge computer vision and deep learning technologies. The proposed system utilizes YOLOv8 (You Only Look Once version 8) for real-time PPE detection, integrated with QR code-based worker identification, automated voice alerts, and comprehensive reporting mechanisms. The system continuously monitors video feeds from workplace environments, detects workers, identifies them through QR codes on their identity cards or helmets, checks for PPE compliance, and immediately alerts violators through personalized voice warnings. All violation incidents are documented with photographic evidence and stored in a SQLite database for future reference and analysis. The system architecture comprises seven core modules: camera capture, PPE detection using YOLOv8n lightweight model, QR code scanning via OpenCV, voice alert generation through pyttsx3, evidence capture, database management, and a web-based dashboard built with Flask. The implementation demonstrates significant improvement over manual monitoring systems by providing continuous, unbiased surveillance with instant feedback. Key features include real-time violation detection at 30 FPS processing speed, QR code-based automatic worker identification with <100ms recognition time, immediate voice alerts with <2 seconds latency, and automated email reporting for both supervisors and workers. The system achieves high accuracy in detection (>85% with pre-trained YOLOv8n model) while maintaining computational efficiency suitable for deployment on standard consumer hardware. Experimental results demonstrate that the system successfully detects PPE violations with high reliability, reduces the workload on safety supervisors by approximately 50%, and creates a comprehensive digital record of safety compliance. The automated reporting system ensures accountability and provides data-driven insights for safety improvement initiatives. The modular architecture allows for easy integration with existing security camera infrastructure and scalability across multiple work zones. The system represents a practical implementation of Industry 4.0 principles, demonstrating how advanced technologies can address real-world industrial challenges while remaining accessible and cost-effective. InduSafe Vision embodies cyber-physical systems integration, Internet of Things (IoT) connectivity, real-time data processing, and decentralized decision-making.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Industrial Safety, PPE Detection, YOLOv8, Computer Vision, Deep Learning, QR Code, Worker Identification, Voice Alert, Automated Monitoring, Flask, SQLite, Industry 4.0, Real-time Surveillance.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid expansion of digital trading platforms has made online trading more accessible; however, users continue to face challenges related to secure transactions, real-time data handling, and efficient management of trading activities. Issues such as maintaining data consistency, ensuring secure user authentication, and providing seamless real-time updates remain critical concerns in online trading and marketplace systems. To address these challenges, this paper presents the technical design and implementation of TradeNova, an online trading and marketplace platform developed as a major project. The system is designed to provide a secure, scalable, and user- friendly digital environment for buying, selling, and managing trade transactions in real time. The platform architecture is built using modern web technologies to support efficient data handling, authentication, and transaction management. This paper details the system architecture, implementation methodology, and functional workflow, demonstrating how TradeNova ensures data integrity, responsive performance, and reliable user interaction across different modules.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Machine Learning, Stock Market, Trading

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In a healthcare setting, writing prescriptions is a crucial and time-consuming task. Transcription errors, inefficiencies, and an increased cognitive burden on the doctor are all possible with the conventional handwritten and manual electronic prescription system. Recent developments in artificial intelligence, specifically in the areas of speech recognition and generative models, offer the possibility of using natural voice interaction to automate the prescription generation process. The Medical Prescription Generator with Generative Artificial Intelligence and Integrated Voice Assistant, which allows doctors to write prescriptions based on clinical instructions that are dictated, is presented in this paper. The suggested system uses a generative artificial intelligence model to generate prescriptions, automatic speech recognition to enable voice-to-text transcription, and natural language processing to extract medical data. Medical validity, data confidentiality, and patient safety are guaranteed by a validation layer and a human-in-the-loop methodology. The efficacy of the suggested system as a clinical decision-support system is validated by experimental analysis, which shows high transcription accuracy, sound entity extraction, and a shorter prescription generation time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Generative AI, Voice Assistant, Medical Prescription System, NLP, Speech Recognition, Healthcare Automation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study aims to explore the relationship of adverse childhood experience ( ACE) and future time perspective (FTP) in relation to approval motivation among psychology and law students. The study aimed to investigate how early life adversity and future time perspective influence student's tendency to seek approval from others. The study employs a quantitative cross sectional research design and data was collected from 180 students with 90 each in psychology and law domain through standardised questionnaire. Pearson's Product moment correlation analysis was used to know the relationship among variables and separate correlation analysis was done to assess within group relationships among psychology and law students. The correlational analysis revealed significant negative relationship between adverse childhood experience and approval motivation for both groups with effect being stronger in law students. Additionally future time perspective showed a positive relationship with approval motivation for both psychology and law students indicating students with stronger future perspective tend to engage in goal directed behaviour and seek constructive feedback. These findings highlight the importance of role of early experiences and future perspective in shaping students motivational tendencies and need for interventions for fostering intrinsic motivation, resilience and adaptive coping strategies among students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

adverse childhood experience, future time perspective, approval motivation, psychology students, law students

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper proposes an AI-aided e-commerce platform that includes a negotiation-based chat bot that mimics real-world price negotiations. The proposed AI chat bot makes intelligent responses using natural language processing techniques in response to users' price offers. The recommendation engine, using TF-IDF and cosine similarity techniques, maximizes user engagement by recommending products in real time. The secured backend system manages products, users, and order processing, providing users with seamless shopping and purchasing experience. Discounts are provided only to interested users, thus maximizing sales and reducing revenue loss for the business. The proposed system bridges the gap between traditional price negotiations and e- commerce platforms, thus maximizing user retention and business outcomes. Index Terms--AI Chat bot, E-Commerce, Price Negotiation, Natural Language Processing, Recommendation Engine, TF- IDF, Cosine Similarity, Cart Abandonment, Personalized Discounts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-powered E-commerce Smart E-commerce Platform Negotiation-based Chatbot Price Bargaining System Intelligent Shopping System

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Gingee fort has been glorified as 'troy of India' for its impregnable nature and architectural endeavor. Gingee fort acted as the capital of this region for both South Arcot and North District. Gingee fort erected on the period of Anada Kon dynasty from thirteenth century, which gradually fortified by the following Kings and Kingdoms. Though, the major and minor Kingdoms, and feudatories ruled the Gingee fort, controlled the region up to Bay of Bengal. Archaeological survey of India listed the heritage monument more than thirty-two sites as heritage monument sites, including Gingee fort. In 2024 C.E., the team of members from UNESCO has visited the Gingee fort, including around 12 sites in India for nomination of the world heritage site in a Maratha architectural marvel. From North to South Indian Kings eager to clinch the Gingee fort on their period, however some were captured and ruled for some years, even Mughals, British and French. This article deals with the significance of Gingee Fort and its potential of UNESCO heritage site.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Gingee Fort, UNESCO World heritage site, troy of India, Architectural endeavor, Fort and Fortification.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Contemporary narratives focus on how stories capture the complexities of modern life and human experience. It experiments with perspective, time and memory to reflect changing social realities and personal experiences. These stories invite readers to actively engage, interpret and connect with the characters' inner worlds. Contemporary narratives become spaces for exploring emotional and cultural dimensions in innovative ways. Margo Battle's "Forgotten by the Sea" reflects on contemporary narratives very particularly the diegetic narration that immerses readers in the characters' emotional world. The narrator's perspective allows readers to interpret experiences and reflect on their own responses. This interaction co-creates meaning between the story and reader, deepening emotional and social understanding. The paper examines how "Forgotten by the Sea" employs diegetic narration to immerse readers in the characters' emotional experiences. It explores how this narrative mode encourages readers to interpret events. Over all, it demonstrates how Battle's narrative fosters the co-creation of meaning between story and reader.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diegetic Narration, Memory, Emotional engagement, Character experience

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pali Nagar ke vastra udyog ka Bandi Nadi ke jal evm maradea per bhaugolik prabhav: ek vishleshnatmak adhyayan

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pali Nagar ke vastra udyog ka Bandi Nadi ke jal evm maradea per bhaugolik prabhav: ek vishleshnatmak adhyayan

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

urban heat island, public health, heat stress, Indian cities, climate adaptation, urban planning, vulnerable populations

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing prevalence of single-parent families has raised important questions regarding their impact on child development. The present study aimed to compare children from single-parent and two-parent families across six developmental domains: academic performance, emotional well-being, behavioral patterns, social development, economic and time resources, and support systems. A quantitative comparative research design was employed. The sample consisted of 75 parents of school-aged children (26 single-parent and 49 two-parent families), selected using convenience sampling. Data were collected using a structured Likert-scale questionnaire and analyzed using independent samples t-tests. Results revealed no significant differences in academic performance, emotional well-being, economic and time resources, or support systems. However, significant differences were observed in behavioral patterns, t(51) = 2.22, p = .031, d = 0.53, and social development, t(53) = 2.07, p = .044, d = 0.50.These findings suggest that family structure alone does not determine developmental outcomes and that environmental and relational factors may play a more critical role.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

single-parent families, child development, academic performance, emotional well-being, social development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Background: Rural healthcare plays a critical role in improving human capital, productivity, and economic growth, especially in states like Madhya Pradesh where nearly 70-75% population resides in rural areas. Objectives: 1. To assess the status of rural healthcare services in selected areas of Madhya Pradesh. 2. To evaluate the impact of rural healthcare on economic development indicators. 3. To find association between healthcare access and economic productivity. Methodology: A descriptive cross-sectional study was conducted among 200 rural households using structured questionnaires. Results: Improved healthcare access significantly enhanced productivity, reduced out-of-pocket expenditure, and increased household income. Conclusion: Strengthening rural healthcare contributes directly to economic development by improving workforce efficiency and reducing poverty.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rural healthcare, Economic development, Madhya Pradesh, Productivity, Health infrastructure

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Upliftment project is designed to address social issues through a transparent and accountable case management system that connects citizens, administrators, and NGOs. The methodology is based on a three-portal architecture: the Citizen Portal enables individuals to report cases and track progress; the Admin Portal verifies authenticity, assigns cases, and monitors performance; and the NGO Portal facilitates resolution by updating status and communicating with stakeholders. The workflow ensures seamless collaboration--citizens report, admins verify, NGOs act, and progress is tracked in real time. The system integrates role-based access control, secure data handling, and workflow automation to guarantee efficiency and trust. Testing confirms smooth integration, scalability, and usability, while result analysis demonstrates faster case resolution and improved stakeholder confidence. Overall, Upliftment provides a structured, technology-driven approach to social welfare management, ensuring accountability and empowerment for communities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parivarthan,AI,CI/CD

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Education is not the amount of information that we put into your brain and runs riot there, undigested, all your life. We must have life building, man making, and character making assimilation of ideas. If you have assimilated five ideas and made them your life and character, you have more education than any man who has got by heart a whole library. Swami Vivekananda felt that the education that young boys and girls receive is very negative. He thinks they do not gain confidence or self-respect from this education, so according to Swami Vivekananda only positive education should be given to children. Swami Vivekananda told, if young boys and girls are encouraged and are not unnecessarily criticized all the time, they are bound to improve in time. He also told the youth: This Theoretical paper Discuss about Swamy Vivekananda thoughts and Ideas of education

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Education, self -Respect, Spiritual Values

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Skin diseases constitute one of the most prevalent categories of medical conditions worldwide, yet timely and accurate diagnosis remains constrained by the availability of specialist dermatologists. This paper presents an automated skin disease classification system that combines a ResNet50 convolutional backbone with a two-layer Bidirectional Long Short-Term Memory (BiLSTM) network to classify dermoscopic and clinical skin images across 22 disease categories. The spatial feature map produced by the ResNet50 encoder is decomposed into a sequence of spatial patches, which are passed to the BiLSTM for sequential refinement -- a design inspired by visual transformer tokenization. To enhance deployment safety, a dual-criterion Out-of-Distribution (OOD) detector rejects non-dermatological images by combining softmax confidence thresholding with normalized Shannon entropy. The system is deployed as a Flask-based web application supporting live camera capture and file upload, targeting both clinical decision-support and medical education use cases. Training employs AdamW optimization, cosine annealing learning rate scheduling, class-weighted cross-entropy loss with label smoothing, and a WeightedRandomSampler to address class imbalance. This report details the dataset, architecture, training procedure, inference pipeline, and deployment strategy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skin disease classification, deep learning, convolutional neural network, ResNet50, LSTM, transfer learning, out-of-distribution detection, medical imaging, dermatology AI. ______________________________________________________________________________

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Geriatric oral health has become an important public health concern due to the rapidly increasing aging population worldwide. According to the World Health Organization, the proportion of individuals aged 60 years and above is steadily rising, increasing the demand for healthcare services tailored to the needs of older adults. Oral health is a fundamental component of general health and quality of life, as it influences essential functions such as chewing, speaking, and social interaction.Therefore, maintaining optimal oral health in geriatric individuals is essential for promoting overall health, preventing complications, and improving their quality of life, highlighting the need for effective preventive, diagnostic, and management strategies in geriatric dental care.Due to the continuous advancements in technology and science that are enabling us to live longer, the older adults in our world today must be embraced by the health care system and have access to high-quality, professional health care through greater accessibility to health care services. With a longer expected lifespan there will also be an increase in an individual's ability to maintain good health and quality of life as well as improve their quality of life in regard to oral health. This research aimed to explore how the aging process affects an individual's general well being and oral health related quality of life and emphasize the importance of dental treatment among older adults. There exists abundant research demonstrating that individuals with periodontitis may be at greater risk for developing certain systemic diseases due to their poor oral health, as well as presenting with chewing and nutrition-related issues that can greatly diminish their overall quality of life.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oral health,quality of life,age related changes,edentulism,complete denture,nutritional.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Santali is the one of oldest indigenous languages of India, belonging to the Austroasiatic language family. It widely spoken by the santal community across state like Jharkhand , Odisha , west Bengal and Assam. It plays a crucial role in shaping the education and cultural identity of the santal community. The paper highlights the importance of santali language and literature in education and culture . The recognition of santali in the Eighth Schedule of the Indian constitution and the development of the santali language has significantly contributed to its growth in formal education. Santali literature, both oral and written, reflects the tradition, beliefs and values of the community. The study Emphasizes that promoting santali language in education and literature is essential for preserving cultural heritage and ensuring inclusive development.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Santali Language, Mother Tongue, Education, Culture, Language Literature Development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Background: Breakfast plays a vital role in maintaining nutritional balance and metabolic health. Skipping breakfast has been linked to multiple health concerns including obesity, metabolic syndrome, and nutritional deficiencies. Homemakers play an important role in family nutrition; however, their own dietary habits are often overlooked. Objective: To assess the prevalence of breakfast skipping and examine its association with selected nutritional deficiencies among homemakers residing in rural villages of Chennai. Methods: A descriptive cross-sectional study was conducted among 100 homemakers aged 21-60 years residing in selected villages of Chennai. Participants were recruited using purposive sampling. Data were collected through a structured questionnaire consisting of demographic characteristics, a breakfast-skipping scale, and a nutritional deficiency checklist. Descriptive statistics were used to summarize the data, and inferential statistics including Pearson's correlation coefficient and Chi-square tests were applied to determine associations. Results: The majority of participants (31%) were aged 21-30 years, and 72% belonged to nuclear families. Most participants reported low nutritional deficiency (74%). Breakfast skipping behaviour was generally low (97%). Pearson's correlation analysis showed a statistically significant positive relationship between breakfast skipping and nutritional deficiency (r = 0.373, p < 0.001). Conclusion: The study identified a significant relationship between breakfast skipping and nutritional deficiency among homemakers. Promoting regular breakfast consumption through community-based nutrition education programs may improve nutritional status and overall health outcomes. Keywords: breakfast skipping, nutritional deficiency, homemakers, dietary habits, rural health, women's nutrition

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: breakfast skipping, nutritional deficiency, homemakers, dietary habits, rural health, women's nutrition

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Plant diseases significantly affect agricultural productivity and food security. Early and accurate detection of plant diseases is essential for improving crop yield and reducing economic losses. This paper proposes a deep learning-based approach using Deep Residual Learning (ResNet) for automatic plant disease detection. The model is trained on labeled leaf image datasets and is capable of identifying various plant diseases with high accuracy. The proposed system helps farmers and agricultural experts in real-time disease monitoring, making precision agriculture more efficient and reliable.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plant Disease Detection, Precision Agriculture, Deep Learning, Residual Networks, Image Classification, ResNet

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid expansion of e-commerce has fundamentally transformed consumer buying behavior, particularly within the fashion industry, where purchasing decisions are highly subjective and experience-oriented. With the growing preference for online shopping, consumers increasingly face uncertainty due to the inability to physically inspect products before purchase. As a result, online reviews have emerged as a critical source of information, functioning as electronic word-of-mouth (e-WOM) that significantly influences consumer trust, perception, and purchase decisions. Online reviews provide insights into key product attributes such as fit, fabric quality, durability, comfort, and overall satisfaction, thereby helping consumers reduce perceived risk associated with online fashion purchases. The present study aims to examine the effect of online reviews on consumer purchase decisions in the fashion industry, with specific reference to Rajasthan. The research focuses on understanding how various online review characteristics--namely review valence (positive or negative), review volume, reviewer credibility, and perceived usefulness--influence consumers' purchase behavior. Additionally, the study investigates whether perceived usefulness of online reviews acts as a mediating variable between review characteristics and purchase decisions. The research also explores differences in the influence of online reviews across demographic segments such as age and gender. A quantitative research approach was adopted using a descriptive and explanatory research design. Primary data was collected through a structured questionnaire administered to 200 online fashion consumers residing in Rajasthan. The respondents were selected using a combination of stratified and convenience sampling techniques to ensure demographic diversity and adequate representation. The questionnaire measured consumer perceptions regarding online reviews using Likert-scale items, along with demographic and online shopping behavior variables. The collected data was coded, cleaned, and analyzed using statistical tools such as descriptive analysis, correlation analysis, regression analysis, Analysis of Variance (ANOVA), and mediation analysis to test the proposed hypotheses and examine relationships among variables. The findings of the study reveal that online reviews have a significant and positive impact on consumer purchase decisions in the fashion industry. Review credibility and perceived usefulness emerged as the most influential factors affecting purchase intention, indicating that consumers place greater trust in reviews that appear authentic, detailed, and reliable. The analysis also shows that younger consumers rely more heavily on online reviews compared to older age groups, reflecting higher digital engagement and familiarity with e-commerce platforms. Furthermore, the mediation analysis confirms that perceived usefulness partially mediates the relationship between online review characteristics and purchase decisions, suggesting that reviews influence consumer behavior primarily when they are perceived as informative and helpful. The study contributes to existing literature by providing region-specific insights into consumer behavior in Rajasthan and highlighting the psychological mechanisms through which online reviews influence purchase decisions. From a practical perspective, the findings offer valuable implications for fashion brands and e-commerce platforms. By encouraging genuine customer feedback, improving review transparency, and enhancing the presentation of useful reviews, companies can strengthen consumer trust, reduce purchase uncertainty, and improve overall sales performance. The study underscores the growing strategic importance of online reviews in shaping consumer decision-making in the digital fashion marketplace.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online Reviews, e-WOM, Purchase Decision, Fashion Industry, Consumer Behavior, Rajasthan

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This study explores the transformational shift from traditional retail to digital marketplaces, where advanced algorithms and psychological triggers now define consumer interaction. It examines the emergence of "marketing entrapment"--a set of manipulative tactics including misleading advertisements, scarcity techniques, and hidden charges designed to subtly influence purchasing decisions. Focusing on a demographic of digital natives, the research identifies that monetary-based incentives, such as aggressive discount strategies, serve as the primary catalyst for consumer engagement and entrapment. While many respondents demonstrate a conscious awareness of these maneuvers, a substantial portion of the population remains oblivious or neutral, highlighting a significant gap in consumer knowledge. To counter these influences, consumers are increasingly adopting a defensive posture by relying on peer-validated metrics like buyer and seller ratings rather than corporate assurances. Ultimately, the study concludes that mitigating the ethical concerns of AI-driven manipulation requires a combination of enhanced consumer education, stricter governmental monitoring, and the adoption of ethical business practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

entrapment, online shopping, consumer behaviour

  License

Creative Commons Attribution 4.0 and The Open Definition