tatic3/Chiremba-AI-Full

Chiremba AI is an innovative health diagnosis system leveraging NLP for text-based diagnosis, CNNs for image-based disease detection (e.g., skin diseases), and telemedicine for virtual consultations. Designed for underserved communities in Zimbabwe, it provides accessible, affordable, and accurate healthcare solutions. # Chiremba Frontend and Deployment This directory contains the frontend application and deployment configurations for the Chiremba medical diagnosis system. ## Frontend Application A modern React-based web application that provides an intuitive interface for medical image analysis. see img diagnosis backend : github.com ### Features - User-friendly interface for medical image upload - Support for multiple diagnosis types: - Skin disease analysis - Brain tumor detection - Lung cancer screening - Pneumonia diagnosis - Real-time analysis results - Detailed medical reports generation - Responsive design for all devices ### Technology Stack - React with TypeScript - Material-UI for components - Axios for API communication ### Setup 1. Install dependencies: ```bash npm install ``` 2. Configure environment variables: - Copy `.env.example` to `.env` - Update API endpoints and configuration 3. Start development server: ```bash node index ``` 4. Build for production: ```bash cd frontend npm run build ``` ## Environment Variables - `REACT_APP_SKIN_SERVICE_URL`: Skin service API endpoint - `REACT_APP_IMAGE_DIAGNOSIS_URL`: AI backend service endpoint - `REACT_APP_API_KEY`: API authentication key (if required) ## Directory Structure - `/frontend`: React application source code - ## Previews ### **Home Page** --- ### **Symptom Checker** --- ### **Virtual Chat** --- ### **Login** --- ### **Image Diagnosis** ## Contributing Please follow the established coding style and commit message conventions when contributing to this project.