Study Assistant

An intelligent AI-powered learning companion that transforms your study experience with autonomous tools and personalized assistance. Designed for localhost development only.

Features

AI Agent with Autonomous Tools

Study Assistant uses a sophisticated AI agent powered by LangGraph and Google's Gemini API, equipped with 6 autonomous tools:

1. RAG Search

   • Semantic search through your personal notes and course materials
   • Powered by vector database storage
   • Upload PDFs, DOCX, and TXT files for intelligent retrieval

2. Web Search

   • Live Google Custom Search integration
   • Real-time information retrieval
   • Up-to-date facts and supplementary content

3. Code Execution

   • Execute Python code in a secure sandbox
   • Run calculations and test algorithms
   • Verify programming concepts in real-time

4. Content Formatter

   • Auto-generate quizzes with multiple-choice questions
   • Create flashcard decks for memorization
   • Build study schedules and to-do lists
   • Saves formatted content as timestamped JSON files

5. Learning Tracker

   • Monitor and track learning progress
   • Detailed progress reports with goals and status updates
   • Session summaries saved automatically

6. Solution Validator

   • Validate Python code against AI-generated test cases
   • Sandboxed execution environment
   • Detailed validation reports with feedback

Conversational Interface

• Natural language interaction with the AI agent
• Persistent conversation history
• Session management for context continuity
• Beautiful, modern UI with React

Architecture

• Frontend: React (localhost:3000)
• Backend: FastAPI with Python (localhost:8000) or run python api.py
• AI: Google Gemini API + LangGraph agent framework
• Vector Store: Chroma DB for RAG functionality

To Run

• enter the frontend directory: npm start
• for the backend, activate a virtual env: python api.py