MITAOE Admission Agent – RAG Based AI Assistant

This repository contains an AI-powered Admission Assistant built using Retrieval-Augmented Generation (RAG) and deployed on IBM WatsonX. The agent provides accurate, real-time responses to student queries related to the admission process at MIT Academy of Engineering (MITAOE), Pune.

Overview

The assistant retrieves institutional data and augments it with generative capabilities to answer questions naturally. It covers:

• Admission policies and eligibility
• Branch-wise cutoff details
• Fee structure and scholarships
• Required documents and deadlines
• Campus life, clubs, and placement records

Key Features

• RAG-based architecture for reliable information retrieval and generation
• Real-time response capability via IBM WatsonX runtime
• Domain-specific dataset sourced from official MITAOE sources
• Structured FAQs and dynamic answer generation

Tech Stack

• IBM WatsonX (Granite, RAG)
• IBM Cloud Lite
• LangChain / Python
• Jupyter Notebook
• HTML integration for frontend preview

Files Included

📂 Admission-Agent/  
├── 🖼️ College Admission Agent.pdf  
├── 📓 Admission Agent.ipynb   
└── 📄 README.md  

How to Use

1. Open and run the Admission Agent.ipynb notebook.
2. Ensure IBM WatsonX credentials and deployment config are active.
3. The agent will respond to queries using real-time retrieval and generation.

Deployment Notes

• This version supports dynamic, context-aware responses.
• Project built and tested under runtime credits to enable live LLM inference.

Author

Aaditya Hande
MIT Academy of Engineering, Pune
GitHub: AadityaHande