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Title: AI College Enquiry Chatbot | RAG System with Gemini & LangGraph | KodeNeurons Description: 🚀 Automate Your Campus Queries with AI! Introducing the College Query Assistant by KodeNeurons—an intelligent RAG-based chatbot designed to help universities, colleges, and schools automate student support. Using Google Gemini AI and Qdrant Vector Database, this application allows administrators to upload official documents (PDFs, DOCX), and lets students ask questions in natural language to get instant, accurate answers. 🌟 Key Features: Smart Document Understanding: Upload brochures, timetables, and notices. Powered by RAG: Retrieval-Augmented Generation ensures answers come only from your data. Tech Stack: Flask, LangGraph, Google Gemini 2.0, Qdrant, and React-ready backend. Secure Access: Role-based login (Admin vs. Student) with data isolation. Persistent Chat: Saves conversation history for students. 👨💻 Need this project or Custom Software Development? At KodeNeurons, we build cutting-edge AI and Web Solutions. Contact us for inquiries, purchases, or custom development. 📞 Contact Us: Mobile: +91 8766055949 Mobile: +91 97664 32374 Mobile: +91 74996 01744 Website: https://kodeneurons.tech ⚡ Technical Stack: Backend: Flask 3.1.2 & LangChain AI Model: Google Gemini 2.0 Flash Database: SQLite & Qdrant Cloud (Vector DB) State Management: LangGraph #RAG #Chatbot #GoogleGemini #Flask #Python #MachineLearning #FinalYearProject #EdTech #KodeNeurons #SoftwareDevelopment #AI