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The platform incorporates AI-powered diagnostics to provide preliminary assessments and connect patients with appropriate medical professionals.\n\n## 🚀 Features\n\n- **Real-time Communication**: Direct websocket connection between patients and doctors\n- **AI-Powered Diagnostics**: Preliminary assessment of symptoms using advanced AI\n- **Multi-platform Support**: Cross-platform functionality (iOS, Android)\n- **Appointment Management**: Schedule, view, and cancel appointments\n- **Doctor Verification System**: Ensuring only qualified professionals are accessible\n- **Symptom Logging**: Patients can log and track their symptoms over time\n- **Health History**: Comprehensive health logs for better medical assessment\n- **Secure Authentication**: Separate login systems for doctors and patients\n- **Profile Management**: Update personal and professional details\n- **Serverless Architecture**: AWS-powered backend for maximum scalability\n\n## 📁 Project Structure\n\n```\nMEDINEX/\n├── .serverless/                 # Serverless deployment configuration\n├── .vscode/                     \n├── medinex_backend/             \n│   ├── .serverless/             \n│   ├── db/                      \n│   ├── lambdas/                 \n│   │   ├── websocket/           \n│   │   │   ├── websocket functions\n│   │   └──lambda functions\n│   ├── node_modules/            \n│   ├── .env                     \n│   ├── package-lock.json        \n│   ├── package.json             \n│   └── serverless.yml          \n├── medinix_frontend/           \n│   ├── .dart_tool/             \n│   ├── .idea/                  \n│   ├── .vscode/                \n│   ├── android/                \n│   ├── assets/                 \n│   ├── build/                  \n│   ├── ios/                    \n│   ├── lib/\n│   ├── linux/\n│   ├── macos/                  \n│   ├── test/                   \n│   ├── web/                    \n│   ├── windows/                \n│   ├── .env                    \n│   ├── .flutter-plugins        \n│   ├── .flutter-plugins-dependencies \n│   ├── .gitignore\n│   ├── .metadata \n│   ├── analysis_options.yaml   \n│   ├── flutter_01.png          \n│   ├── medinix_frontend.iml    \n│   ├── pubspec.lock\n│   ├── pubspec.yaml\n│   └── README.md   \n└── .gitignore      \n```\n\n## 🛠️ Technologies Used\n\n### Backend\n- **AWS Lambda** - Serverless compute service\n- **AWS API Gateway** - API management\n- **AWS DynamoDB** - NoSQL database\n- **Node.js** - JavaScript runtime\n- **MongoDB Atlas** - Main database for major operations\n- **Serverless Framework** - Deployment and infrastructure management\n\n### Frontend\n- **Flutter** - Cross-platform UI framework\n- **Dart** - Programming language\n- **WebSocket** - Real-time communication protocol\n\n### AI Integration\n- Used Gemini for AI capabilities\n\n## 🚀 Getting Started\n\n### Prerequisites\n- Node.js 14.x or higher\n- Flutter 2.x or higher\n- MongoDB Atlas or Compass\n- AWS CLI configured with appropriate permissions\n- Serverless Framework installed globally\n\n### Backend Setup\n1. Navigate to the backend directory:\n   ```\n   cd medinex_backend\n   ```\n2. Install dependencies:\n   ```\n   npm install\n   ```\n3. Create a `.env` file with your AWS credentials and other environment variables\n4. Deploy to AWS:\n   ```\n   serverless deploy\n   ```\n\n### Frontend Setup\n1. Navigate to the frontend directory:\n   ```\n   cd medinix_frontend\n   ```\n2. Install dependencies:\n   ```\n   flutter pub get\n   ```\n3. Create a `.env` file with your backend API endpoints\n4. Run the application:\n   ```\n   flutter run\n   ```\n\n## 📱 Supported Platforms\n- iOS\n- Android\n\n## 🔒 Security Features\n- End-to-end encryption for patient-doctor communications\n- Secure authentication flows\n- HIPAA-compliant data storage\n- Doctor verification system\n- OTP-based verification\n\n## 🤝 Contributing\nContributions are welcome! Please feel free to submit a Pull Request.\n\n\n## 📞 Contact\n\nSanjay Kumar Parida - [kumarparidasanjay23@gmail.com](mailto:kumarparidasanjay23@gmail.com)\nProject Link: [https://github.com/SanjayKParida/collaborative-study-platform](https://github.com/SanjayKParida/collaborative-study-platform)\n\n---\n\n**Note**: Medinix is designed with scalability in mind, leveraging serverless architecture to handle varying loads efficiently while maintaining performance and reliability.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanjaykparida%2Fmedinex","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsanjaykparida%2Fmedinex","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanjaykparida%2Fmedinex/lists"}