🏥 Medic - AI Disease Detection
🤔 What is This?
A fun experiment in medical diagnosis using AI! This web app lets you input symptoms and uses a deep learning model to suggest possible conditions. Think of it as a high-tech medical dictionary - definitely not a replacement for real doctors! (a part of me wants to build this though)
⚕️ How it Works
- Select your symptoms from a comprehensive list
- Our AI model (with 4,2 Million parameters!) processes them
- Get a list of possible conditions with confidence scores
- Remember: This is for educational purposes only!
🔬 The Tech Behind It
- Frontend: React 19 + Vite + TypeScript + TailwindCSS
- AI Model: TensorFlow.js (converted from Python)
- Performance: ~85% accuracy on test data
- Dataset: Large collection of symptom-disease mappings
- Architecture: Dense Neural Network with multiple layers
🚀 Try It Yourself
# Clone the repo
git clone https://github.com/tawanastate/medic.git
# Install dependencies
cd medic
npm install
# Run locally
npm run dev
⚠️ Important Disclaimer
I'm a software developer, not a medical professional! This project is:
- ✅ An interesting tech experiment
- ✅ Open source and free to use
- ✅ Educational
- ❌ NOT a substitute for professional medical advice
- ❌ NOT meant for self-diagnosis
🤝 Let's Make It Better!
Are you a healthcare professional interested in improving this project? I'd love to collaborate! While I can handle the tech side, having medical expertise would make this tool much more valuable.
👨💻 About the Creator
Hey! I'm Tawananyasha Mukoriwo, a software developer who loves experimenting with Machine Learning. While I don't have medical training, I believe technology can help make healthcare knowledge more accessible.
- 🌐 Website: tawananyasha.com
- 📧 Contact: [hello@tawananyasha.com]
- 💻 More projects: TawanaState Github Profile
🔮 Future Plans
- [ ] Improve model accuracy
- [ ] Add more symptoms and conditions
- [ ] Create API endpoints
- [ ] Add multilingual support
🙏 Contributing
All contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation - feel free to open a PR!
📄 License
This project is open source and available under the MIT License.
Remember: Always consult healthcare professionals for medical advice. This is just a fun tech project! 🏥
