Volume 13 | Issue 3 |

 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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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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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

 Abstract

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.

Licence: creative commons attribution 4.0

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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

 Abstract

Leadership is a critical determinant of success in the dynamic IT sector. This study analyzes the different leadership styles in Coimbatore's IT sector and their influence on organizational performance, as well as employee satisfaction and productivity. It was undertaken primarily by collating data through questionnaires, with 100 respondents, to examine leadership styles such as democratic, transformational, transactional, and autocratic. The study also examined barriers to effective leadership that include authoritarianism, stale adherence to practices, and poor communication. Chi-square and regression analyses show how age can significantly affect the effectiveness of a leadership style, and the influence of leadership satisfaction on job satisfaction and motivation was small. The study emphasizes participative and innovative leadership approaches that enhance both employee engagement and organizational growth in the IT sector of Coimbatore.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Leadership style, IT sector, Organizational performance, Coimbatore, Employee satisfaction, Productivity, Democratic leadership, Transformational leadership, Transactional leadership, Autocratic leadership, Barriers to leadership, Authoritarianism, Communication issues, Chi-square analysis, Regression analysis, Leadership effectiveness, Job satisfaction, Motivation, Participative leadership, Innovative leadership, Employee engagement, Organizational growth

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dr. Bhim Rao Ambedkar, popularly known as architect of the Indian Constitution, was one of the most popular intellectuals of the 20th century in India. He was a versatile personality who has acted as economist, social reformer, revolutionary, profound personality and emancipator of depressed women. He was a beacon for the crores of oppressed, down-trodden people and was recognized as Masiha of depressed, untouchable. His exposure to foreign education has influenced his views on women rights. He worked firmly for elevating the women status. Other than launching various social movements, Ambedkar initiated Hindu Code Bill in the parliament. He played important role in creating awareness of Indian women and inspired women to fight against unfair social practices in the society. In this article, as part of Ambedkar Prespective presentation is made to the root cause of miserable plight of women in Indian Society and reformative initiatives taken by Ambedkar during Pre Independence perioed and relevance of his contribution in contemporary time related to Labour Code of Contemporary for the benefit of the dalit and poor women labour.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Empowerment, Untouchability, Social Justice, Gender equality, Feminism, Hindu Code Bill

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The extremely high pace at which data increases in domains such as health and sports makes it increasingly apparent that there is a need for systems that can quickly extract and process domain-specific information. Often such traditional approaches would have different models for each of the domains, which brings even more complex and resource-consuming setup processes. This work introduces a joint pipeline towards extracting information across domains in such a situation where transfer learning is efficient. The understanding that makes it even more compelling is that it uses fine-tuning on multi-domain tagged datasets like healthcare and sports to eliminate the need for separate domain-specific models by pre-trained transformer models available like BERT. Architecture provides domain classification as well as named entity recognition (NER) and relationship extraction. A new prioritization mechanism will evaluate the relevance of the individual lines read in the input text by the number of extracted entities and their associations. Lines having greater relevance will be sequenced for the generation of queries and Extraction of information; thus, efficient and meaningful information Extraction is realized. This system will effectively incorporate the query formulation and Extraction components for accurate and relevant data Extraction in healthcare and sports applications. Experimental results show that the unified approach produces a simplified architecture, reducing resource consumption while improving scalability for flexible and efficient use in multi-domain applications of natural language processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cross-domain information extraction, transfer learning, BERT, named entity recognition, multi-domain NLP, information Extraction, Relationship Extraction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rabies remains a significant public health concern in India, with thousands of cases reported annually. The National Rabies Control Program (NRCP) is a government initiative aimed at reducing the incidence of rabies through vaccination, awareness, and surveillance. This study analyzes trends in dog bites, categorization of bite severity, and vaccination efforts in Jalandhar district, Punjab, over 2023-2024. The data suggests a rising trend in dog bite cases, particularly severe (Category II and III) bites, necessitating intensified vaccination and stray dog control measures. The study highlights the importance of public awareness campaigns and expanded intradermal (ID) vaccination programs to optimize resources and enhance rabies control strategies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rabies, National Rabies Control Program, Dog Bites, Vaccination, Public Health, Jalandhar, Post-Exposure Prophylaxis

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Creative Commons Attribution 4.0 and The Open Definition