Volume 13 | Issue 5 |

 Abstract

To make it even better, the system lets users give feedback in real-time, so they can help the app suggest songs they like. It also learns over time, getting better at guessing what music someone might enjoy based on how their feelings change and what they listen to. The system can work on different music streaming services too. Today, music plays a big role in how we feel and can make our days better. Usually, music apps suggest songs based on what people like or what they've listened to before. But these methods often don't really understand how our feelings change. This paper introduces a new idea called the Emotion-Based Music Recommendation System (EMRS), which picks songs based on how we feel right at that moment. Tests show that EMRS makes people happier and more engaged with their music compared to regular music recommendation systems. This new idea could really help with mental health, stress relief, and make music more personal and enjoyable. This system uses special technology to understand our emotions. It looks at our facial expressions, the tone of our voice, and even things like our heart rate to figure out how we're feeling. It uses smart computer programs called deep learning models to sort our feelings into groups like happiness, sadness, anger, or calmness. Then, it connects these feelings to music that fits those emotions using a special method that combines different ways of finding song recommendations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotion-based music recommendation, affective computing, mood-based playlist generation, real- time emotion detection, facial expression recognition, deep learning, CNN-RNN hybrid model, AI-driven music recommendation, collaborative filtering, content-based filtering, personalized music experience, multimodal emotion recognition, human-computer interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Particularly during the Indus Valley Civilization (c. 2600-1900 BCE) and later historical periods, the study of seals in ancient India offers vital insights into the sociopolitical, economic, and cultural fabric of early civilizations. This study summarizes the various applications of seals in ancient India by combining scholarly interpretations, archaeological discoveries, and epigraphic data to demonstrate their complex functions. Seals, which frequently bore elaborate inscriptions and imagery denoting ownership, trade links, or official roles, functioned as marks of identification, authority, and commerce. Steatite carvings with mysterious lettering and animal patterns on Indus seals suggest a highly developed trading network that extended throughout Mesopotamia and beyond. Later seals, such as those from the Mauryan and Gupta eras, illustrate how government, religious symbolism, and bureaucratic uniformity evolved over time. To shed light on regional influences and technological advancements, this study also examines the materials, craftsmanship, and stylistic variations of these seals. Through a critical engagement with primary sources and archaeological data, this study clarifies the significance of seals in understanding ancient Indian urban design, economic organization, and political administration. Additionally, it explores how the usage of seals has changed and remained consistent over time, establishing links between historical and pre-modern customs. The study emphasizes the necessity of further multidisciplinary research to unravel unresolved mysteries, particularly the undeciphered Indus script, which remains a major enigma in South Asian history. By highlighting the significance of seals as cultural artifacts that encode historical narratives beyond their administrative functions, this comprehensive review advances our understanding of ancient Indian society. The paper's conclusion underscores the implications of these findings for future linguistic and archaeological research.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ancient India, Art and iconography, Proto-writing, Seal inscriptions, Symbolism.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ultra-Fast Charging Advancements in charging technology are pushing the boundaries of charging speed. Ultra-fast dishes, with capacities up to 350 kW and beyond, can now add significant range (60- 200 long hauls) in as little as 20- 30 twinkles. Companies like Tesla with its Supercharger V4 are at the van of this technology. This significantly reduces charging time, making long- distance trip in EVs more doable and easing range anxiety.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric vehicle (EV) battery charging, Vehicle- to- Grid (V2G), Vehicle- to- Home (V2H)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's privacy-sensitive urban and security environments, surveillance systems must balance monitoring effectiveness with data protection. Blurshield is a privacy-preserving vehicle tracking system built using YOLOv8 for real-time object detection and integrated with a web-based interface and Flask API backend. This system dynamically blurs detected vehicles in video feeds, ensuring privacy while maintaining surveillance effectiveness. With high detection accuracy, intuitive user controls, and scalable architecture, Blurshield addresses the growing demand for ethical, real-time surveillance solutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

YOLOv8 Vehicle Tracking Real-time Object Detection Privacy-Preserving Surveillance Flask API

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vitiligo is a chronic autoimmune skin condition characterized by the loss of pigment - producing cell, resulting in white patches on the skin. Affecting approximately 1% of the global population , vitiligo can have a significant impact on quality of life. Normal skin colour varies, depending on lifestyle and light exposure as well as constitutional and ethnic factors. The cause of vitiligo is disorders of the immune system (autoimmune disorders )and family history ( heredity ), such as stress , severe sunburn or skin trauma, contact with a chemical. Here, we present a case study of vitiligo who presented hypopigmented area left lip and neck . Vitiligo can start at any age , but usually appear before age 30

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vitiligo , autoimmune disorders etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

e-Sanjeevani is a doctor to patient telemedicine system through online has been deployed nationally for the in Ministry of Health & Family Welfare under Ayushman Bharath Scheme of Government of India. Through e-Sanjeevani OPD, anyone can get the medical advice through audio and video. It's one of the best Scheme under Digital India for public across the India launched by our Hon'ble Prime Minister of India Shri Narendra Modi. E Sanjeevani, health ministry's national telemedicine initiative today completed 19 lakhs consultations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

"A STUDY TO ASSESS THE EFFECTIVENESS OF VIDEO ASSISTED TEACHING ON KNOWLEDGE AND UTILIZATION OF E-SANJEEVANI (OPD) APP AMONG PEOPLE UNDERGOING HEMODIALYSIS AT DISTRICT HEAD QUARTERS HOSPITAL, CHITTOOR, ANDHRA PRADESH"

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Campus Recruitment Training (CRT) plays in enhancing students' employability and readiness for industry demands has become increasingly significant. This study looks at the various factors that influence how effective CRT programs are in universities. The objective is to identify the external and internal elements that either enhance or detract from these training programs' efficacy. The study used a mixed-method research approach, collecting information from corporate recruiters, training providers, and faculty coordinators through formal questionnaires presented to final-year students and semi-structured interviews. The quality of training materials, the trainer's expertise, student motivation and engagement, program duration and schedule, use of technology and tools, and institutional support are among the key elements that are the focus of this study. A well-designed and industry-aligned CRT curriculum significantly improves students' success in campus placements, the findings show. The most effective methods included resume-building workshops, interactive sessions, aptitude testing, group discussions, and mock interviews. Infrastructure, feedback collection, and follow-up training are examples of institutional support that contributes to long-term improvements in student preparedness. This study contributes to our understanding of CRT's effectiveness and offers practical data to legislators, educational institutions, and training firms who wish to increase student employability and bridge the knowledge gap between education and the workforce.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Campus Recruitment Training, Employability, Training Programs, Program Duration and Schedule, Aptitude Testing, Resume-building workshops.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the financial performance of the banking industry in general and ICICI Bank in specific for focusing on key indicators such as profitability and liquidity. Using recent financial data and performance ratios, the analysis provides insights into how banks navigate economic fluctuations, regulatory changes, market competition, and technological advancements. The findings highlight that while profitability has generally improved due to increased digitalization and cost optimization, challenges persist in managing non-performing assets, maintaining adequate capital buffers, and responding to evolving customer expectations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial Performance, Ratio, Cash Flows, Trend Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the a study on the impact of training and development upon employee job satisfaction main goal of this research project is to examine how training and development affect Avinash Manufacturing Industries employees' work satisfaction. Continuous staff development is essential for sustaining high levels of motivation, productivity, and organizational success in the cutthroat industrial climate of today. The purpose of the study is to assess the effects of organized training programs on workers' performance, dedication to the company, and job satisfaction. The study investigates how employees see training efficacy, chances for skill improvement, and the overall impact of development programs on their level of engagement at work using both primary and secondary data. The results of the study show that by encouraging a feeling of both professional and personal development, well-designed training programs greatly increase work satisfaction.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Training and development, job satisfaction, employee performance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sentiment analysis, a pivotal branch of Natural Language Processing (NLP), enables machines to interpret and quantify human emotions across diverse data formats ranging from plain text to audio, images, and video. Proposed research introduces a comprehensive, modular web application built on the Streamlit framework, designed to democratize access to sentiment analysis tools for both practitioners and researchers. By integrating state-of-the-art libraries namely TextBlob, NLTK's VADER, Flair, Text2Emotion, and FER for textual and visual sentiment detection, the platform facilitates real-time analysis of user-input text, IMDb movie reviews fetched via API, and facial expressions in uploaded images. The application not only visualizes sentiment scores with interactive Plotly charts and OpenCV-powered face detection but also aggregates multi-modal sentiment into a unified metric, thereby providing holistic emotional insights.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Natural Language Processing (NLP), Multi-modal Emotion Detection, Streamlit Web Framework, TextBlob, NLTK VADER

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Creative Commons Attribution 4.0 and The Open Definition