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PCOSense 🌸

AI-Powered PCOS & PCOD Health Companion

PCOSense is a smart healthcare web application designed to assist women in managing PCOS (Polycystic Ovary Syndrome) and PCOD (Polycystic Ovarian Disease) through AI-powered predictions, health tracking, food analysis, and personalized wellness recommendations.


✨ Features

  • 🩺 AI-based PCOS/PCOD prediction
  • 📊 Symptom and health tracking
  • 🍎 AI food scanner for PCOS-friendly food analysis
  • 🤖 Personalized AI recommendations
  • 🧘 Yoga and wellness guidance
  • 📅 Menstrual cycle prediction
  • 🔐 Secure user authentication
  • 📈 Health analytics dashboard

🛠️ Tech Stack

Frontend

  • React.js / Next.js
  • Tailwind CSS
  • TypeScript

Backend

  • FastAPI
  • Python

Database

  • MongoDB
  • Firebase

AI & Machine Learning

  • TensorFlow
  • Scikit-learn
  • Gemini API
  • ChromaDB
  • Neo4j

📂 Project Structure

PCOSense-app/
│
├── frontend/          # Frontend application
├── backend/           # Backend APIs and ML integration
├── models/            # Machine learning models
├── assets/            # Images and static assets
├── README.md
├── package.json
└── requirements.txt

⚙️ Installation

1. Clone the Repository

git clone https://github.com/Anushkatyagi10/PCOSense-app.git
cd PCOSense-app

2. Install Frontend Dependencies

npm install

3. Install Backend Dependencies

pip install -r requirements.txt

🚀 Running the Project

Start Frontend

npm run dev

Start Backend

uvicorn main:app --reload

🧠 How It Works

  1. User enters health and lifestyle data.
  2. AI model analyzes symptoms and predicts PCOS/PCOD probability.
  3. The app provides:
    • Personalized recommendations
    • Food suggestions
    • Wellness guidance
    • Health tracking insights

🎯 Future Improvements

  • 📱 Mobile application support
  • ⌚ Wearable integration
  • 👩‍⚕️ Doctor consultation system
  • 🧬 Advanced AI diagnostics
  • 🌍 Multi-language support

🤝 Contributing

Contributions are welcome!

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push the branch
  5. Open a Pull Request

👩‍💻 Author

Anushka Tyagi and Tanushri


🌐 Repository Link

https://github.com/Anushkatyagi10/PCOSense-app

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  • JavaScript 39.0%
  • CSS 32.9%
  • HTML 28.1%