Curiobot

Curiobot is an AI-powered study assistant that transforms PDF documents into interactive learning experiences. It generates dynamic mind maps, extracts key topics, and provides an intelligent Q&A chat interface to help students understand complex material faster.

Visuals

Homepage

Dashboard

Interactive Mind Map

AI Q&A Interface

Key Topics Extraction

Predicted Questions

Features

• Interactive Mind Maps: Visualizes concepts from your PDFs in a hierarchical tree structure using React Flow.
• AI-Powered Q&A: Chat with your documents. The system uses RAG (Retrieval-Augmented Generation) to provide accurate answers based only on the specific document's content.
• Topic Extraction: Automatically identifies and explains key topics.
• Parallel Processing: Optimized backend processes large PDFs quickly by running analysis and vector embedding tasks concurrently.

Technology Stack

Frontend

• Framework: Next.js 14 (App Router)
• Language: TypeScript
• Styling: Tailwind CSS
• Visualization: React Flow (for Mind Maps)

Backend

• Framework: FastAPI (Python)
• LLM: Google Gemini (Flash 2.0 & Pro)
• Vector DB: Pinecone
• Storage: Google Cloud Storage (GCS)
• Caching/Progress: Redis
• Orchestration: LangGraph (for analysis workflows)

Quick Start

Using Docker Compose (Recommended)

The easiest way to run the entire stack (Frontend, Backend, Redis) is with Docker Compose.

docker-compose up --build

Access the app at http://localhost:3000.

Manual Setup

Please refer to the specific README files for detailed setup instructions:

• Backend README
• Frontend README