International Journal of Innovative Research in Computer and Communication Engineering

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TITLE AI Student Companion: Intelligent Chatbot Assistant for Students
ABSTRACT The AI Student Companion is an intelligent chatbot assistant developed to provide continuous and reliable academic support to students. The system integrates Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) to retrieve relevant academic content from a structured vector knowledge base and generate accurate, syllabus-aligned responses. Unlike traditional rule-based chatbot systems, this solution combines FAISS-powered semantic search, transformer-based emotion detection, and the Gemini 2.5 Flash large language model (LLM) to deliver context-aware, factually grounded replies. A three-way intelligent routing mechanism classifies each user query into one of three pipelines: Sentiment (emotional support), RAG (document retrieval), or LLM (general knowledge). The system further incorporates an automated event announcement processor that extracts structured event information from uploaded posters and PDFs using Gemini Vision API and OCR. The backend is built on Flask and the frontend on React with TypeScript, authenticated via Firebase, and with persistent storage via Supabase. Comprehensive testing validates the system's reliability and performance across multiple testing dimensions.
AUTHOR G. VIJAYA, V. CHANDRIKA, O. VAMSI, B. JAYANTH, D. AKSHAJ, V. VENKATA NAGA SATISH Assistant Professor, Department of CSE (AI & ML), Nadimpalli Satyanarayana Raju Institute of Technology, Vishakapatnam, India Students, Department of CSE (AI & ML), Nadimpalli Satyanarayana Raju Institute of Technology, Vishakapatnam, India
VOLUME 182
DOI DOI: 10.15680/IJIRCCE. 2026.1403101
PDF pdf/101_AI Student Companion Intelligent Chatbot Assistant for Students.pdf
KEYWORDS
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