GenAI-Based Classroom Assistant Chatbot

Abstract - Education accessibility remains one of the key global challenges, particularly in rural and under-resourced areas where students often lack timely academic support. Existing learning platforms are frequently disjointed, with limited AI-driven personalization, poor multilingual support, and no structured reuse of learner data. These limitations lead to slower learning progress, reduced engagement, and inconsistent academic growth. This project presents a GenAI-Based Classroom Assistant Chatbot that integrates advanced Generative AI (GenAI), Machine Learning (ML), and Natural Language Processing (NLP) to deliver real-time, intelligent, and inclusive academic assistance. The system introduces multiple modules including: • Doubt Solver – AI-powered subject query resolution through natural language input. • Academic Chatbot – 24/7 conversational tutor for concept explanation and guidance. • AI Mentor – Personalized study recommendations and progress tracking. • Student Digital Twin – A reusable academic profile storing performance and learning history for continuous improvement. The platform is built using Flask (backend), React (frontend), MySQL (database), and Ollama Phi AI models for content generation and interactive responses. It is optimized for low-bandwidth environments, supports multiple languages, and ensures scalability for institution-wide deployment. By providing intelligent tutoring, multilingual communication, personalized feedback, and secure academic data management, this project highlights how GenAI can transform education, enhance accessibility, and enable data-driven learning for students and educators alike. This comprehensive system aims to offer scalable, adaptive, and learner-friendly digital education solutions, addressing the evolving demand for smart classroom technologies. Keywords: Classroom Assistant Chatbot, AI Tutor, Student Management System, Personalized Learning, Academic Analytics, Education Technology, Multilingual NLP, Data Security, Responsive UI Design, Digital Learning Solutions.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-10-10
DOI
https://doi.org/10.55041/ijsrem52952
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

GenAI-Based Classroom Assistant Chatbot

K. Kalaivani, R Disha, Gabriel Anto Joshua S, K Tarunika et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI in Service Interactions
article

GenAI-Based Classroom Assistant Chatbot

K. Kalaivani, R Disha, Gabriel Anto Joshua S, K Tarunika, S Praneesh
article en

Abstract

Abstract - Education accessibility remains one of the key global challenges, particularly in rural and under-resourced areas where students often lack timely academic support. Existing learning platforms are frequently disjointed, with limited AI-driven personalization, poor multilingual support, and no structured reuse of learner data. These limitations lead to slower learning progress, reduced engagement, and inconsistent academic growth. This project presents a GenAI-Based Classroom Assistant Chatbot that integrates advanced Generative AI (GenAI), Machine Learning (ML), and Natural Language Processing (NLP) to deliver real-time, intelligent, and inclusive academic assistance. The system introduces multiple modules including: • Doubt Solver – AI-powered subject query resolution through natural language input. • Academic Chatbot – 24/7 conversational tutor for concept explanation and guidance. • AI Mentor – Personalized study recommendations and progress tracking. • Student Digital Twin – A reusable academic profile storing performance and learning history for continuous improvement. The platform is built using Flask (backend), React (frontend), MySQL (database), and Ollama Phi AI models for content generation and interactive responses. It is optimized for low-bandwidth environments, supports multiple languages, and ensures scalability for institution-wide deployment. By providing intelligent tutoring, multilingual communication, personalized feedback, and secure academic data management, this project highlights how GenAI can transform education, enhance accessibility, and enable data-driven learning for students and educators alike. This comprehensive system aims to offer scalable, adaptive, and learner-friendly digital education solutions, addressing the evolving demand for smart classroom technologies. Keywords: Classroom Assistant Chatbot, AI Tutor, Student Management System, Personalized Learning, Academic Analytics, Education Technology, Multilingual NLP, Data Security, Responsive UI Design, Digital Learning Solutions.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(10)
Openalex Percentile: Top 85%
AI in Service Interactions
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GenAI-Based Classroom Assistant Chatbot — K. Kalaivani, R Disha, et al. · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS