Volume 13 | Issue 3 |

 Abstract

The Indian automobile industry plays a vital role in economic growth, with Maruti Suzuki and Mahindra being dominant players. This study presents a comparative financial analysis, focusing on profitability, liquidity, and trend analysis to assess their financial performance. Using key financial ratios such as net profit margin, return on assets, inventory turnover, current ratio, and debt-equity ratio, the study evaluates the companies' earning capacity, short-term solvency, and financial stability. Trend analysis further examines their growth patterns and market adaptability over time. Additionally, the study incorporates automobile industry ratios and share performance to understand investor confidence and market positioning. The study incorporates automobile industry ratios and share performance to understand company postions , growth of company, and market positioning. This study is based on past financial data, and future performance may change due to market conditions and economic factors.

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 Keywords

Financial Analysis, Profitability, Liquidity, Trend Analysis, Automobile Industry Ratios, Share Performance, Market Growth, Maruti Suzuki, Mahindra

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study deals with the rise of self-flying agricultural drones has transformed precision farming, making it more efficient and environmentally friendly. This study introduces a smart pesticide-spraying drone designed from scratch, blending artificial intelligence, GPS, IoT, and ArduPilot navigation to deliver chemicals exactly where they're needed. The drone handles everything on its own--flying, charting out farmland, and fine-tuning spray patterns to cut down on pesticide waste and keep people out of harm's way. It comes with an easy-to-use interface, so even folks with little tech know-how can run it without a hitch. The setup includes a Pixhawk PX4 2.4.8 flight controller, brushless motors, a LiPo battery, and a top-notch spraying system, all working together to tackle real farm challenges reliably. Field tests showed it sprays more accurately, slashes costs, and boosts crop health. This solution offers a practical, expandable way to bring automation into farming, paving the way for greener, more sustainable practices.

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 Keywords

Autonomous Drone, Precision Agriculture, Pesticide Spraying, IoT-Based Farming

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Green finance and sustainable development are intricately linked, as green finance plays a significant role in advancing sustainable development goals. Green finance focuses on mobilizing financial resources towards environmentally sustainable projects and initiatives. It not only supports the transition to a low-carbon economy but also fosters innovation, economic growth, and job creation in green industries while enhancing the resilience of financial systems to environmental risks. Moreover, by aligning financial flows with sustainable principles, it contributes to mitigating climate change, protecting biodiversity, and promoting responsible natural resource management, thus fostering a more balanced relationship between economic development and environmental preservation. This research aims to investigate the impact of green finance initiatives on promoting sustainable development. It examines the effectiveness of various green finance mechanisms in driving environmentally friendly projects and fostering sustainable economic growth.

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 Keywords

Green finance, Environment, Sustainable development, SDG.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Jammu and Kashmir, often called the "Crown of India," is home to a rich cultural and historical legacy, reflected in its ancient temples. These temples are not only places of worship but also significant markers of the region's architectural, spiritual, and artistic evolution. With influences from Hinduism, Buddhism, and later Islamic traditions, the temples of Jammu and Kashmir represent a confluence of diverse cultural and religious histories. This study explores the historical significance, architectural styles, and cultural importance of key temples, including the Martand Sun Temple, Shankaracharya Temple, Raghunath Temple, Vaishno Devi Temple, and Amarnath Cave Temple. It examines how these structures have withstood time, conflicts, and environmental changes, yet continue to hold immense religious and cultural relevance. Furthermore, the study highlights the challenges faced in preserving these heritage sites due to political unrest, environmental degradation, and neglect. It underscores the need for conservation efforts to maintain these temples as symbols of the region's rich past. By analyzing their historical context and significance, this research aims to contribute to the discourse on cultural preservation and heritage management in Jammu and Kashmir.

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 Keywords

Jammu and Kashmir, Cultural Heritage, Temples, Architectural Styles, Preservation, Religious Significance

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 Abstract

This paper critically examines the reconfiguration of teacher identity in the digital age, exploring how digital transformation has redefined educators' roles from traditional knowledge transmitters to multifaceted professionals encompassing content creators, digital mentors, and facilitators of interactive learning. Drawing on a comprehensive review of literature, case studies, and empirical research, the paper investigates the negotiation of multi-role responsibilities, professional challenges such as digital divide, workload, and ethical concerns, as well as emerging opportunities afforded by artificial intelligence, gamification, digital networking, and entrepreneurial ventures in education. The analysis highlights the necessity for continuous professional development, robust policy support, and strategic institutional initiatives to ensure effective digital integration and teacher empowerment in the 21st century. Future research directions emphasize the need for empirical studies on digital teacher identity evolution and the impact of AI on pedagogical practices and teacher autonomy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Teacher Identity, Digital Transformation, Digital Education, Multi-Role Negotiation, AI in Education, Professional Development, Digital Pedagogy, Educational Technology, Digital Divide, Online Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project, titled "Semantic and Generative AI Integration for Personalized Career Guidance," focuses on developing an advanced AI-based virtual personal assistant chatbot tailored to deliver accurate, contextually relevant, and professional career advice. The integration of Llama3 via the Ollama API ensures robust generative capabilities, enabling seamless, conversational, and context-aware responses while maintaining conversational history for stateful interactions. The system employs theLM-L6-v2 Sentence Transformer to encode a pre-characterized dataset of career-related questions into high-dimensional embeddings. By leveraging cosine similarity, the chatbot efficiently calculates semantic similarity to identify and match the most contextually relevant question-answer pairs. This approach ensures precise and personalized guidance for users. Designed with scalability and adaptability in mind, the modular architecture facilitates the integration of additional datasets and NLP models to enhance system capabilities. The chatbot incorporates Natural Language Processing (NLP) and AI-driven conversational interfaces to address real-world challenges, offering personalized career guidance in a user-friendly and accessible manner. The user interface, implemented using Streamlit, provides an intuitive platform for smooth interactions. To enhance accessibility, the system supports voice-based queries through Speech Recognition technology and delivers verbal responses via Google Text-to-Speech (TTS) or pyttsx3, creating a natural and engaging user experience. This project demonstrates the practical application of semantic similarity matching and generative AI technologies, blending theLM-L6-v2 Sentence Transformer for semantic analysis with the Llama3 model for context-aware conversational responses. By integrating these technologies, the system provides users with actionable, coherent, and highly personalized career guidance through voice-based interactions.

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 Keywords

AI-based virtual assistant, career guidance chatbot, natural language processing, semantic matching, conversational AI, MiniLM-L6-v2, Llama3, Ollama API, Streamlit, real-time response, semantic similarity, chatbot interface, user guidance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Consumer Satisfaction is one of the important points when a company is established. By having a high level of satisfaction, the greater the consumer will be loyal to the company. Later, the consumer loyalty will become an important point to determine the life of the company. In the end, the company will look for many ways to create high consumer loyalty. This study uses the snowball technique, a sample of 100 Lush Consumer in Surabaya, Indonesia, were identified based on their attributes. The four hypotheses are based on the analysis, and each hypothesis is validated.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Product Quality, Price, Corporate Image, Satisfaction and Loyalty

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project focuses on the design and development of an innovative and user-friendly library portal. The portal aims to make libraries more accessible, effective, and innovative, thereby enhancing the overall user experience. Our goal is to create a portal that meets the needs of libraries and provides users with a seamless and convenient experience, allowing them to easily access library resources and services. To achieve this goal, we have undertaken a comprehensive approach, involving user research and analysis, portal design and development, portal security and privacy, and portal testing and evaluation. By incorporating the latest technologies and design principles, we aim to create a portal that is not only visually appealing but also highly functional and user-friendly. Ultimately, our objective is to create a portal that helps libraries become more innovative and effective, while providing users with a seamless and convenient experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Revolutionizing Libraries, Next-Gen Portal.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates what drives consumer preferences when it comes to coupon code-based promotions in the e-commerce sector, with a focus on Coimbatore city. As online shopping continues to grow, businesses are increasingly turning to coupon codes to attract and keep customers. The goal of this research is to uncover the factors that influence how consumers interact with these promotions. A survey was conducted with 140 online shoppers to gather insights on their demographic details, shopping habits, and preferences for different types of coupon codes. This study explores the usage and impact of coupon codes on e-commerce shoppers in Coimbatore. Primary data for the research was collected through surveys distributed to online shoppers, while secondary data was gathered from academic journals and research papers. A structured questionnaire was designed to examine key aspects such as coupon usage frequency, preferred discount types, satisfaction with available coupon codes, and their influence on purchasing decisions. The study employed a simple random sampling method, targeting frequent online shoppers familiar with coupon codes, with a minimum sample size of 140 respondents to ensure adequate representation. Data analysis was conducted using percentage analysis, chi-square tests, and graphical representations to derive meaningful insights.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Preferences, Coupon Codes, E-commerce sectors, Promotional Activities, Online Shopping, Customer Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agricultural exports are a key driver of India's economy, supporting millions of farmers and contributing to foreign exchange earnings. This study explores how India's agricultural exports have performed over the past five years, identifying trends, challenges, and opportunities. By analysing export data from 2019-20 to 2023-24, the study examines which products and countries have shown growth and where struggles persist. While factors like better technology, favourable policies, and strong global demand have boosted exports, challenges such as unpredictable weather, price fluctuations, and trade restrictions continue to pose hurdles. The findings highlight the need for better infrastructure, policy support, and value addition to help Indian farmers and exporters stay competitive in global markets.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture exports

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Creative Commons Attribution 4.0 and The Open Definition