Lifelink

A sophisticated memory and journal application with AI capabilities, combining a React frontend with a Python/FastAPI backend.

Project Structure

lifelink/
├── frontend/           # React + Vite frontend application
│   ├── src/           # React components and source code
│   ├── public/        # Static assets
│   └── ...            # Frontend configuration files
├── backend/           # Python FastAPI backend
│   ├── main.py        # FastAPI application
│   ├── models.py      # Data models
│   ├── config.py      # Configuration
│   └── ...            # Backend files
└── README.md          # This file

Features

• Memory Management: Store and organize personal memories
• AI-Powered Insights: Analyze memories with AI for patterns and insights
• Audio Transcription: Convert audio recordings to text using Whisper
• Semantic Search: Find memories using natural language queries
• Timeline Visualization: View memories chronologically
• Mood Tracking: Track and visualize mood patterns over time
• Advanced Search: Complex filtering and search capabilities

Technology Stack

Frontend

• React 19.1.0 with Vite 7.0.4
• Material-UI for components
• Tailwind CSS for styling
• Chart.js for data visualization
• Axios for API communication

Backend

• FastAPI with Python
• MongoDB for data storage
• OpenAI Whisper for audio transcription
• LangChain for AI features
• ChromaDB for vector search
• JWT authentication

Getting Started

Frontend

cd frontend
npm install
npm run dev

Backend

cd backend
pip install -r requirements.txt
python main.py

For more detailed information:

• Frontend documentation: frontend/README.md
• Backend setup: See backend directory

Expanding the ESLint configuration

If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the TS template for information on how to integrate TypeScript and typescript-eslint in your project.