Volume 13 | Issue 5 |

 Abstract

Advanced Driver Assistance Systems (ADAS) are critical for reducing accidents and improving driving performance. This project develops a deep learning-based ADAS using a hybrid model combining YOLOv8 and VGG16 to enhance detection accuracy. YOLOv8 performs real-time object detection, identifying vehicles, pedestrians, and obstacles with high precision, while VGG16 improves lane detection and road sign recognition. This combination strengthens vehicle perception and decision-making capabilities. The system integrates features like obstacle detection, driver monitoring, and adaptive cruise control, processed through a high-performance computing setup. By leveraging deep learning and neural networks, our approach enhances detection accuracy, minimizes false positives, and ensures timely driver assistance. This advancement not only improves driving safety but also brings ADAS closer to the reliability needed for autonomous driving, paving the way for future innovations in the automotive industry.

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 Keywords

Advanced Driver Assistance Systems (ADAS) ,Deep Learning ,YOLOv8 ,VGG16 ,Object Detection, Lane Detection, Road Sign Recognition ,Vehicle Perception , Driver Monitoring ,Adaptive Cruise Control, Neural Networks, Real-Time Detection, Autonomous Driving ,Automotive Safety , Hybrid Deep Learning Model ,Obstacle Detection , High-Performance Computing Artificial Intelligence in Automotive , Smart Vehicles ,Traffic Safety Technology

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 Abstract

The process of interaction within digital environments and the possibility of need expression remains a worldwide obstacle for people who have severe mobility challenges. The existing eye-tracking technologies remain unaffordable and complex which keeps them out of reach for the majority of users. The proposed system uses existing webcam iris tracking technology in combination with MATLAB image processing to achieve affordable and user-friendly data input operations. The developed system brings together live gaze tracking and predefined eye movement pattern detection to create a hands-free interface that also warns guardians. The project executes a three-component architecture which involves iris identification followed by gaze positioning and pattern recognition which sends notifications. The system design enables users to communicate with their eyes as alternative to conventional input tools. Safety and independence are key priorities in this system because it brings together an adaptive calibration process with strong eye-tracking algorithms and straightforward eye-controlled user interface capabilities. The system uses encryption of user-specific settings to maintain profile protection together with modular data processing to achieve accurate operational functionality. Through its solution the mobility-impaired gain more independence by achieving both self-governance and instant caregiver communications. The combination of Assistive technology with Pattern recognition systems and Image processing and MATLAB application leads to Gaze detection and Caregiver alert functions.

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 Keywords

Eye-tracking, Gaze detection, Assistive technology, Pattern recognition, Caregiver alert, Image processing, MATLAB.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vikshit Bharat @2047: Prathmik Siksha Ke Sandharbh Me

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Vikshit Bharat @2047: Prathmik Siksha Ke Sandharbh Me

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This comparative study was conducted with quantitative approach were selected by purposive sampling technique. 100 Married women from rural area 100 Married women from urban area were selected to conduct the study. Structured Questionnaire were prepared to assess the knowledge and attitude regarding contraceptive method among married women. Data was analyzed and interpreted using descriptive and inferential statistics. Prior commencing to data collection the investigator had obtained formal permission to collect the data.

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 Keywords

Contraceptive methods, married women

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the concept of Gati Bhedam (variations in rhythmic subdivisions) in South Indian classical music, emphasizing its historical evolution, theoretical foundations, and practical applications. It outlines the significance of rhythm (Tala) as a core element of music, tracing its origins to mythological narratives and ancient treatises. The paper examines the Sapta Talas (seven primary Talas) and their structure, highlighting how different Gati (subdivisions) - Tisra, Chatusra, Khanda, Misra, and Sankeerna - expand the 35 traditional Talas into 175 variations. Clear distinctions between Gati and Nadai are established, underscoring their unique roles in maintaining rhythmic integrity while allowing artistic flexibility. Practical examples of Korvais (rhythmic patterns) in different Gatis are provided to illustrate these concepts. The study concludes by affirming the enduring relevance of Gati Bhedam in modern musical performance and its capacity to enrich the listener's experience through dynamic rhythmic diversity.

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 Keywords

Gati Bhedam, Tala, Sapta Talas, Laya, Nadai, Tala Structure

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal products include a range of self-prescribed plant-based preparations that fall under the main categories of food, cosmetics, nutritional supplements, and herbal medicines. The classification of herbal products is still within national jurisdiction and is not in line with global or EU standards. Herbal products are widely accessible not only through pharmacies but also through marketplaces and mail order Using medicinal plants to treat ailments is arguably the oldest practice. As a result, phytotherapy has been included into all traditional medical systems, frequently serving as the primary healthcare provider in low- and middle-income nations. In wealthy nations, the use of herbal products has grown in recent decades. The low quality of herbal products may cause negative reactions due to a lack of regulation and unrestricted distribution channels, including online sales. The most frequent causes include using products tainted with potentially dangerous substances like heavy metals, radioactive particles, microbial metabolites (like mycotoxins), agrochemical residues, adulteration of herbal products with unreported powerful pharmaceutical substances, substitution or misidentification with toxic plant species, improper dosing, and interactions with conventional medications. Numerous pollutants, including metals and radionuclides, are found naturally in the atmosphere and ground. Some result from the usage of substances that damage the environment and subsequently medicinal plants, such as persistent chemical residues or emissions from factories. Even organically grown herbs may include pollutants from environmental sources due to their excessive use and disposal. Throughout history, medicinal plants have been used for therapeutic purposes all across the world, and they continue to play a significant role in conventional medicine. Despite having differing theoretical and cultural foundations, all traditional medical systems--whether Ayurvedic, Chinese, Unani, Tibetan, Amazonian, or African--incorporate phytotherapy into their philosophies.

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 Keywords

Microbes, Contamination, Herbal Medicines, Pesticides, Chemicals, Herbs

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Positive Youth Development (PYD) programs are essential in fostering life skills, emotional resilience, and social engagement in young individuals, particularly those pursuing demanding professions like nursing. This study evaluates the effectiveness of a structured Positive Youth Development Program intervention in enhancing social and emotional competencies among nursing students in Mohali, Punjab. A quasi-experimental design compared pre- and post-intervention levels in experimental and control groups. Results indicated a statistically significant improvement in emotional resilience and social engagement scores among students who participated in the intervention. The study concludes that PYD programs can be effective in preparing nursing students for personal and professional challenges, thereby promoting their well-being and competence.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Positive Youth Development, Nursing Students, Emotional Resilience, Social Engagement, India

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Jharkhand has tremendous potential for mining tourism because of its wealth of minerals and rich cultural heritage. However, to establish the state as a top experiential tourist destination, innovative marketing strategies are needed to capitalize on this distinctive expertise. This paper's examination of modern methods of improving mining tourism in Jharkhand highlights the integration of storytelling, digital marketing, and interaction with the community. Rebranding mining sites as historical, educational, and recreational destinations is the first phase in the procedure. Virtual reality (VR) and augmented reality (AR) experiences can be introduced to tell the narrative of the growth of mining in the area by merging technology with history. Authenticity and an emotional bond might be provided through the development of interactive museums, guided tours, and cultural events that highlight the life of miners and communities nearby. Digital platforms are vital for marketing. Addressing specific groups of people can be performed through influencer partnerships, content marketing that emphasizes immersive experiences, and customized social media campaigns. Partnerships with Internet booking services and travel agencies enhance visibility even further. Another pillar is tourism, which is promoted by the community. Involving local people in tourism-related activities encourages sustainable development and gives visitors an authentic experience. Travelers who care about the environment also respond to initiatives that promote sustainability, such as converting abandoned mines into adventure parks or eco-tourism destinations. By implementing these innovative strategies, Jharkhand might boost economic growth and protect its natural and cultural resources while turning its mining heritage into a flourishing tourism offering. A sustainable future for mining tourism in the area is the goal that this study aims to motivate stakeholders to think about.

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 Keywords

Mining Tourism, Jharkhand, Digital Marketing, Public-Private Partnerships, Sustainable Tourism.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Shikshan Sansthaon me yuvaon ke badalte moolyon ka Samajshariya Adhyayan- Aadhunikikaran ke Vishesh Sandarbha Mein

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Shikshan Sansthaon me yuvaon ke badalte moolyon ka Samajshariya Adhyayan- Aadhunikikaran ke Vishesh Sandarbha Mein

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The extensive prevalence of social websites like YouTube has resulted in escalating cyberbullying and the ex- change of offensive information in user-added comments. Content moderation is an arduous and inefficient undertaking at scale, requiring automated platforms for monitoring. This paper illus- trates an AI system intended to filter and block cyberbullying online in real-time by monitoring comments on YouTube based on Natural Language Processing (NLP) and Deep Neural Networks (DNNs). The system makes use of the YouTube Data API to retrieve user comments in real time. Every comment is NLP-preprocessed with tokenization, stop-word filtering, and word embedding methods to prepare data for analysis. Objectionable content is identified through a combination of rule-based keyword matching using a pre-defined list of objectionable words and sentiment classification using a trained DNN model. The DNN model is trained to recognize the emotional tone and intent of user comments so that the system can mark not just overtly offensive language but also contextually offensive content. A warning system is implemented where a user is warned every time offensive content is detected. When the user gets three warnings, the system mimics an automatic blocking operation. Also, a web-based dashboard is created for administrators to track live comments, see flagged users, and monitor the number of warnings or blocks done. Experimental assessment demonstrates that the combined application of rule-based filtering and deep learning improves the accuracy and resilience of cyberbullying detection. The proposed framework can be extended to multiple social media sites and used for multilingual comment analysis. The system proposed is helpful in developing intelligent, scalable, and real-time moder- ation systems for safer online communication environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyberbullying detection, YouTube comments, Natural Language Processing (NLP), Sentiment analysis, Deep Neural Networks (DNN), Real-time moderation, Offensive word detection, Hybrid AI model, Content moderation, Admin dashboard.

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Creative Commons Attribution 4.0 and The Open Definition