Volume 14 | Issue 6 |

 Abstract

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Underground Cable Fault Detection, Arduino Uno, GSM Module, GPS Tracking, Fault Distance Locator, Power Distribution System, Smart Monitoring, Fault Localization.

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: Road traffic accidents remain one of the major causes of fatalities, injuries, and economic losses worldwide. This project aims to reduce the increasing number of road accidents by developing an AI-powered road safety system that proactively identifies accident-prone zones and provides real-time alerts to drivers. The proposed system utilizes five years of historical accident data (2021-2025) collected across twelve accident-related parameters, including fatalities, grievous injuries, accident intensity, and yearly accident trends. The accident records are mapped to precise geographical coordinates across Pune, Maharashtra, enabling spatial analysis and hotspot identification.The system integrates machine learning and geospatial technologies to improve road safety. K-Means clustering is employed to identify and visualize accident hotspots, achieving an optimal Silhouette Score of 0.5925 with three distinct clusters. Furthermore, an XGBoost classification model is trained using historical accident data from 2021-2023 to predict future accident-prone zones for 2024-2025. Experimental evaluation demonstrates strong predictive performance, achieving an accuracy of 92.08%, precision of 91.84%, recall of 100%, F1-score of 95.74%, and ROC-AUC of 97.78%.To enhance user awareness and safety, the identified accident-prone zones are displayed on an interactive Leaflet.js map as color-coded hotspots. Drivers receive visual alerts and audio notifications through the Web Speech API whenever they approach within a predefined distance of a hazardous zone. The system is further supported by a FastAPI backend and GPS-based location tracking for real-time operation. By combining accident hotspot detection, predictive analytics, and proactive driver alerts, the proposed framework contributes toward safer transportation networks, reduced accident risks, and improved decision-making for both drivers and traffic management authorities.

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Accident-Prone Zone Identification, Road Safety, K-Means Clustering, XGBoost, Leaflet.js, Machine Learning, FastAPI, GPS Tracking, Real-Time Alerts.

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Attendance management is an essential activity in educational institutions and organizations, where accurate record keeping directly influences administration, monitoring, and performance evaluation. Traditional attendance methods such as manual registers and card-based systems are often time consuming, error prone, and vulnerable to proxy attendance. This paper presents FaceTrack: An Intelligent Vision-Based Attendance Monitoring Framework Using Deep Facial Analytics, a smart attendance solution that automates the identification and recording process through facial recognition technology. The framework utilizes OpenCV for real-time face detection, dlib-based facial feature encoding for identity matching, and a Flask-powered web interface for attendance visualization and management. Captured facial images are processed and compared with stored facial encodings to accurately identify registered individuals and automatically generate attendance records with timestamps. Attendance information is maintained in both CSV files and a MySQL database to ensure reliable storage and easy retrieval. Experimental evaluation demonstrates high recognition accuracy, reduced processing time, and effective prevention of proxy attendance under standard indoor conditions. The proposed framework enhances operational efficiency, minimizes administrative workload, and provides a scalable, contactless, and cost-effective attendance monitoring solution for modern academic environments.

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 Keywords

Attendance Management, Face Recognition, Computer Vision, OpenCV, Deep Facial Analytics, Flask, MySQL, Biometric Authentication, Automated Monitoring, Machine Learning.

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Breastfeeding is widely recognized as the optimal method of infant feeding, offering significant nutritional, immunological, developmental, and health benefits for both infants and mothers. Despite its advantages, breastfeeding success is often affected by challenges related to positioning, attachment, and maternal comfort, which can lead to poor milk transfer, breastfeeding complications, and early cessation. This literature review aimed to examine and synthesize existing evidence on various breastfeeding methods and their effectiveness in promoting successful breastfeeding outcomes.A narrative literature review design was adopted. Relevant studies were retrieved from electronic databases, including pubmed, google scholar, cochrane Library, and Ssciencedirect, along with guidelines from the world health organization and United Nations Children's Fund. Peer-reviewed articles, systematic reviews, meta-analyses, randomized controlled trials, observational studies, and clinical guidelines published in English were included. The literature was analyzed thematically, focusing on different breastfeeding positions, factors influencing position selection, and their impact on maternal and infant outcomes.Findings indicate that breastfeeding success is strongly influenced by proper positioning and effective attachment, which facilitate efficient milk transfer, reduce complications, and enhance maternal comfort. Evidence suggests that no single breastfeeding position is universally superior; rather, effectiveness depends on maternal anatomy, infant developmental stage, mode of delivery, and clinical conditions. Positions such as the cross-cradle and football hold are particularly beneficial during early breastfeeding initiation, while side-lying and laid-back breastfeeding improve maternal comfort and recovery. Upright and specialized positions are useful in selected clinical situations, including reflux or prematurity. The review also highlights the essential role of nurses, midwives, and lactation consultants in providing breastfeeding education and individualized support.

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breastfeeding methods, breastfeeding positions, infant attachment, maternal comfort, breastfeeding support, lactation, nursing practice.

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Allelopathy is a biological phenomenon in which plants release chemicals that affect the germination and growth of nearby plants. This study was conducted to evaluate the allelopathic effects of aqueous leaf extracts of Parthenium hysterophorus, Lantana camara, Ageratum conyzoides, and Azadirachta indica on seed germination and early seedling growth of Triticum aestivum (wheat). Leaf samples were shade-dried, powdered, and used to prepare extracts of 5%, 10%, and 15% concentrations. The experiment was carried out under controlled laboratory conditions using a completely randomized design with proper control and replications. In this study, parameters such as germination percentage, root growth, shoot growth, and seedling vigour index were evaluated. The results showed that all plant extracts had inhibitory effects, which increased with higher concentrations. Among them, Ageratum conyzoides exhibited the strongest inhibition on both root and shoot growth, followed by Lantana camara. Parthenium hysterophorus showed a moderate inhibitory effect, while Azadirachta indica showed no significant effect, indicating minimal allelopathic influence. Overall, the study demonstrates that allelopathic plants can negatively affect crop establishment and productivity. Therefore, proper management of these plants is necessary to improve crop growth and yield.

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Allelopathy, seed germination, seedling growth, inhibitory effects

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The psychological well-being of prospective teachers plays a vital role in their academic success, professional preparation, and overall development. In recent years, increasing academic demands and changing educational environments have highlighted the importance of understanding the relationship between psychological well-being and academic engagement among teacher education students. The present study investigates the level of psychological well-being and academic engagement among prospective teachers and examines the relationship between these variables. A normative survey method was employed for the study. The sample consisted of prospective teachers enrolled in teacher education institutions. Standardized tools were used to measure psychological well-being and academic engagement. Descriptive statistics, t-test, ANOVA, and Pearson's Product Moment Correlation were utilized for data analysis. The findings revealed that prospective teachers exhibited moderate to high levels of psychological well-being and academic engagement. A significant positive relationship was found between psychological well-being and academic engagement, indicating that students with higher psychological well-being tend to demonstrate greater involvement, enthusiasm, and commitment to their academic activities. The study emphasizes the need for teacher education institutions to promote psychological well-being through supportive learning environments, counselling services, and well-being-focused interventions. Enhancing psychological well-being may contribute significantly to improving academic engagement and preparing competent future teachers.

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Psychological Well-Being, Academic Engagement, Prospective Teachers, Teacher Education, Educational Psychology.

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Printmaking has shaped culture in all parts of the world. Originally used as a form of communication, printmaking is now valued as an artistic medium with unique technical qualities. To create a print, the artist creates an image on a surface usually made of metal, stone, wood, or other material. If we describe the brief history and techniques of printmaking, then its roots can be traced back to prehistoric cave paintings and prints by humans, to the emergence of modern humans, who began to record their handprints on paper. The block printing traditions of the Indus Valley Civilization represent the earliest foundations of printmaking, and their artistic and technological innovations continue to contribute to contemporary textile printing and visual culture. In addition, the carved seals, repetitive patterns, and image transfer techniques of the Indus Valley laid the foundation for modern printmaking practices. Indus Valley, Mesopotamia where carved inscriptions were repeatedly pressed into clay for printing. These inscriptions represent their identity and trade. These inscriptions later developed with woodblock printing in China, where syllabified were carved onto blocks to reproduce text and images. Chinese scholars made rubbings from carved inscriptions around 200 AD, which was an early form of printing that could be done on paper and silk. The best example of this is the Diamond Sutra. In addition, Han Dynasty seals called chops were made by carving calligraphy characters on a flat surface of jade, silver, gold, or ivory. China introduced the practice of paper currency. The principle of buying and selling through currency made trade transactions much easier. European traveler Marco Polo discussed the use of stencils on Japanese and Chinese silk and paper currency while traveling to Europe. In fourteenth-century Europe, woodcut prints became a popular way to distribute Christian imagery to the general public. In Europe, pictorial designs were being printed on cloth. Block-prints were stenciled onto thick paper. As a result, printing began to expand in Europe. If we talk about India, there is evidence of woodblock-printed textiles on the west coast of India, but the use of blocks for printing on paper was a foreign technique. Traditional Indian arts and crafts skills such as goldsmithing, wood and metal carving, and iron work already had a strong foundation in India. At that time, these seals were made of stone and metal, which have now become digital. The best example of this is the bar code scanner.

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Printmaking, Traditional, Printing Techniques, Relief Printing

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Electric vehicle (EV) charging infrastructure plays a vital role in supporting the growing adoption of sustainable transportation. This study presents the design and development of an IoT-assisted solar-powered wireless EV charging station that combines renewable energy generation, intelligent monitoring, and contactless power transfer in a single platform. Solar photovoltaic panels harvest solar energy and store it in a rechargeable battery system, ensuring reliable energy availability for charging operations. Wireless power transfer based on electromagnetic induction enables convenient charging without physical connectors, improving safety and reducing maintenance requirements. An Arduino-based controller coordinates system functions, while IoT connectivity through the ESP8266 module facilitates real-time monitoring of voltage, current, battery status, charging performance, and energy utilization. Operational data can be accessed remotely, enabling efficient supervision and timely decision-making. The proposed system promotes reduced dependence on conventional grid electricity, supports clean energy utilization, and enhances user convenience. Experimental implementation demonstrates effective wireless charging, stable system operation, and continuous monitoring capabilities, making the solution suitable for sustainable and smart electric mobility applications in diverse practical deployment scenarios.

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Electric Vehicle (EV), Wireless Charging, Solar Energy, Internet of Things (IoT), Wireless Power Transfer, ESP8266, Renewable Energy, Sustainable Transportation.

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The Gypsy Goddess, is the debut novel of Meena Kandasamy, an exploration of the plight of agriculture laborers who work in horrific conditions in the fields incessantly from minimal to no wages while undergoing constant subjugation to the upper caste landlords of Thanjavur district of Tamil Nadu. This narrative though primarily concerned with the massacre that happened on Christmas day in 1968 in Kilvenmani village, also investigates the ideas concerned with identity, politics, etc., and the narrative evokes sympathy and horror in the reader with its narrative form. Through a combination of postmodern and metafictional techniques, Kandasamy challenges traditional novelistic structures, exposing their limitations and offering a counter-narrative to the official histories of India.

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plight, subjugation, massacre, postmodern, metafiction

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The rapid proliferation of digital technology in India has given rise to an unprecedented surge in cybercrime, transforming the socio-digital landscape and presenting significant challenges for law enforcement, policymakers, and forensic practitioners. This manuscript examines the psychological dimensions of cybercrime in the Indian context, drawing on forensic psychology frameworks to analyze the cognitive, motivational, and socioenvironmental factors that drive cybercriminal behavior. The paper explores the psychological profiles of cybercriminals operating within India, including financially motivated fraudsters, ideologically driven hacktivists, and sexually motivated offenders. Using a forensic lens, the study integrates criminological theories--including routine activity theory, general strain theory, and neutralization theory--to explain the unique manifestations of cybercrime in India's demographically and culturally diverse milieu. The manuscript further investigates the psychological impact of cybervictimization on Indian individuals and communities, with special attention to gendered dimensions of online harassment and cyberstalking. Forensic investigative methodologies, digital evidence analysis, and the role of psychological profiling in cybercrime investigations are critically evaluated. Implications for forensic practice, mental health interventions, and policy recommendations are discussed. The findings underscore the urgent need for interdisciplinary collaboration among forensic psychologists, cybersecurity professionals, law enforcement agencies, and policymakers to develop culturally sensitive and empirically grounded strategies for cybercrime prevention and offender rehabilitation in India.

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cybercrime, forensic psychology, India, cybercriminal profiling, cybervictimization, digital forensics, online fraud, psychological impact

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Creative Commons Attribution 4.0 and The Open Definition