Mirror AI

Your personal reflection companion powered by AI.

Write about your day and get AI-powered insights about your emotions and patterns.

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What is Mirror AI?

Mirror AI helps you understand yourself better by analyzing your daily reflections with AI. Just write about your day, and get instant insights on:

• Your emotional state (sentiment analysis)
• Empathetic summaries and suggestions
• Recurring themes and patterns
• Trends over time

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Features

• 🤖 AI Analysis - Sentiment analysis and empathetic summaries
• 📊 Dashboard - Visualize your mood trends and patterns
• 📱 Mobile-Friendly - Works on any device
• 🔒 Private - Your data stays secure in Supabase

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Quick Start

Prerequisites

• Python 3.11+
• Node.js 18+

Setup

1. Clone the repository

   git clone https://github.com/MhussainD4772/Mirror-AI.git
   cd Mirror-AI

2. Backend setup

   cd backend
   pip install -r requirements.txt
   # Set up .env with your credentials (see below)
   uvicorn main:app --reload

3. Frontend setup (new terminal)

   cd frontend
   npm install
   npm run dev

4. Visit http://localhost:3000

Environment Variables

Create a .env file in the backend directory:

SUPABASE_URL=your_supabase_url
SUPABASE_ANON_KEY=your_supabase_anon_key
HF_TOKEN=your_huggingface_token

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Tech Stack

• Frontend: Next.js + TypeScript + TailwindCSS
• Backend: FastAPI (Python)
• Database: Supabase (PostgreSQL)
• AI: Hugging Face Models (free)
• Deployment: Vercel (frontend) + Render (backend)

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Project Structure

mirror-ai/
├── backend/
│   ├── main.py              # FastAPI app
│   ├── routes/              # API routes
│   ├── services/            # AI services
│   └── supabase_client.py   # DB client
├── frontend/
│   ├── pages/               # Next.js pages
│   ├── components/          # React components
│   └── utils/               # API client
└── README.md

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Deployment

Backend (Render)

1. Connect GitHub repo to Render
2. Set root directory: backend
3. Add environment variables
4. Deploy

Frontend (Vercel)

1. Import repo to Vercel
2. Set root directory: frontend
3. Add NEXT_PUBLIC_BACKEND_URL variable
4. Deploy

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Contributing

Contributions are welcome! Just fork the repo and submit a pull request.

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License

MIT License

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Built with ❤️ for self-discovery