Multimodal AI-Based Student Study Preparation System |
Author(s): |
| Thorat Pooja Ramesh , PDEAs College of Engineering Manjari Bk Pune; Prof. B. S. Jadhav , PDEAs College of Engineering Manjari Bk Pune |
Keywords: |
| Multi-modal AI, Fuzzy Search, Natural Language Processing (NLP), study preparation, personalized adaptive Learning, Multimodal AI, Fuzzy Search, NLP, Student Learning System, Personalized Education, AI Chatbot, Performance Analytics, React.js. |
Abstract |
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The Multimodal AI-Based Student Study Preparation System is an intelligent, centralized learning platform designed to overcome the limitations of traditional digital education tools. The system integration of a multi-model AI system and fuzzy search capabilities using Fuse.js. AI-powered chatbot, fuzzy search (Fuse.js), natural language processing (NLP), voice input, optical character recognition (OCR), quiz management, and real-time performance analytics are integrated into a unified web application, enabling AI-driven personalization. This method significantly improves the efficiency and effectiveness of study practices. The system is prepared to understand user intent from diverse input, such as text, voice, or image, and return contextually relevant study materials with high precision. Experimental evaluations demonstrate that the fuzzy search module achieves approximately 94% accuracy compared to 58% for traditional exact-match systems. |
Other Details |
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Paper ID: IJSRDV14I40009 Published in: Volume : 14, Issue : 4 Publication Date: 01/07/2026 Page(s): 109-111 |
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