StudyBuddy – AI-Powered Learning Companion

Project Overview

StudyBuddy is an intelligent assistant built with FastAPI and Streamlit, offering two core modes:

Learning Route

Powered by a RAG (Retrieval-Augmented Generation) pipeline using LangChain and Gemini embeddings.

Users upload a PDF or text, ask questions, and the AI responds based on the actual context.

Quiz Route

Automatically generates a 10-question multiple-choice quiz derived from the uploaded content.

Users answer the quiz through Streamlit and receive an instant score with detailed feedback.

How to Run Locally

-cd Backend
-pip install -r requirements.txt
-uvicorn app.main

--reload

In a new terminal:

• cd Frontend
• pip install -r requirements.txt
• streamlit run app.py

Core Technologies

FastAPI – Efficient API backend to support both learning and quiz endpoints.

Streamlit – Interactive and user-friendly UI for content ingestion, Q&A, and quizzes.

LangChain – Manages embedding, retrieval, and generation workflows.

Gemini Embeddings & Responses – Leverages Google’s Gemini LLM for accurate context interpretation and answer generation.

Modular Architecture – Separate endpoints for learning mode and quiz logic, promoting clean and testable code.

Key Features

Upload any PDF or text file, then engage in context-based Q&A.

Generate a custom 10-question quiz directly from the source material.

Instant scoring and feedback, with correct/incorrect responses highlighted.

Full ingestion-to-assessment workflow, all within one seamless app.

Try It Now

– Visit the demo and upload a PDF (top-left corner) to start interacting:
➤ studybuddyforyou.streamlit.app

Repo Details

Languages: Python (99%) & Dockerfile (1%)

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Includes a minimal setup with modular backend/frontend and RAG pipeline for quick experimentation.