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.
- 🩺 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
- React.js / Next.js
- Tailwind CSS
- TypeScript
- FastAPI
- Python
- MongoDB
- Firebase
- TensorFlow
- Scikit-learn
- Gemini API
- ChromaDB
- Neo4j
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.txtgit clone https://github.com/Anushkatyagi10/PCOSense-app.git
cd PCOSense-appnpm installpip install -r requirements.txtnpm run devuvicorn main:app --reload- User enters health and lifestyle data.
- AI model analyzes symptoms and predicts PCOS/PCOD probability.
- The app provides:
- Personalized recommendations
- Food suggestions
- Wellness guidance
- Health tracking insights
- 📱 Mobile application support
- ⌚ Wearable integration
- 👩⚕️ Doctor consultation system
- 🧬 Advanced AI diagnostics
- 🌍 Multi-language support
Contributions are welcome!
- Fork the repository
- Create a feature branch
- Commit your changes
- Push the branch
- Open a Pull Request