{"id":25489797,"url":"https://github.com/kovdanielgh/MedsRecognition-Frontend","last_synced_at":"2025-11-08T09:30:35.818Z","repository":{"id":276891775,"uuid":"930636024","full_name":"dankrasilnikov/MedsRecognition-Frontend","owner":"dankrasilnikov","description":"UI for MedsRecognition App ","archived":false,"fork":false,"pushed_at":"2025-02-13T02:53:57.000Z","size":530,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-18T21:17:49.208Z","etag":null,"topics":["ai","health","healthcare-application","machine-learning","medtech","open-source","react-native"],"latest_commit_sha":null,"homepage":"https://sperekrestova.github.io/MedsRecognition/","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dankrasilnikov.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-11T00:35:32.000Z","updated_at":"2025-02-13T02:54:00.000Z","dependencies_parsed_at":"2025-02-11T02:35:05.102Z","dependency_job_id":null,"html_url":"https://github.com/dankrasilnikov/MedsRecognition-Frontend","commit_stats":null,"previous_names":["dankrasilnikov/medsrecognition-frontend"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dankrasilnikov%2FMedsRecognition-Frontend","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dankrasilnikov%2FMedsRecognition-Frontend/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dankrasilnikov%2FMedsRecognition-Frontend/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dankrasilnikov%2FMedsRecognition-Frontend/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dankrasilnikov","download_url":"https://codeload.github.com/dankrasilnikov/MedsRecognition-Frontend/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239550272,"owners_count":19657541,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","health","healthcare-application","machine-learning","medtech","open-source","react-native"],"created_at":"2025-02-18T21:17:52.809Z","updated_at":"2025-11-08T09:30:35.778Z","avatar_url":"https://github.com/dankrasilnikov.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MedsRecognition Frontend\n\n## Overview\n\n**MedsRecognition Frontend** is a cross-platform mobile and web application built with Expo and React Native. It serves as the frontend for the MedsRecognition ecosystem by allowing users to capture images of medications and view recognition results. The app is designed to run seamlessly on Android, iOS, and web platforms while interfacing with backend services that perform OCR and active ingredient recognition.\n\n\u003e **⚠️ Note:** This project is under active development and is intended for educational and exploratory purposes. Some features may be experimental or subject to change.\n\n## Table of Contents\n\n- [Features](#features)\n- [Project Structure](#project-structure)\n- [Prerequisites](#prerequisites)\n- [Environment Variables](#environment-variables)\n- [Installing and Running Locally](#installing-and-running-locally)\n- [Docker Setup](#docker-setup)\n- [Contributing](#contributing)\n- [License](#license)\n- [Contact](#contact)\n\n## Features\n\n1. **Medication Recognition Interface**\n   - User-friendly UI for capturing images and initiating recognition.\n   - Supports image scanning and displays results retrieved from backend services.\n2. **Cross-Platform Support**\n   - Built with Expo for native performance on Android, iOS, and the web.\n3. **Docker Support**\n   - Provides Docker configurations for a consistent, reproducible development environment.\n\n## Project Structure\n\n```\nmedsrecognition-frontend/\n├── .husky/                # Husky configuration for Git hooks\n├── node_modules/          # Installed dependencies\n├── package.json           # Project metadata and scripts\n├── app/                   # Main application source (screens, components, navigation)\n├── assets/                # Static assets (images, fonts, etc.)\n├── entities/              # Domain models or entities used across features\n├── features/              # Feature modules containing related logic and UI elements\n├── pages/                 # Page or screen components (if using a pages-based approach)\n├── shared/                # Shared utilities, hooks, components, or constants\n├── .gitignore             # Git ignore rules\n├── .prettierignore        # Prettier ignore rules\n├── prettierrc             # Prettier configuration\n├── app.json               # Expo configuration\n├── babel.config.json      # Babel configuration\n├── eslint.config.mjs      # ESLint configuration (module format)\n├── tsconfig.json          # TypeScript configuration\n├── Dockerfile             # Docker instructions for containerization\n├── docker-compose.yml     # Docker Compose file for multi-container setups\n└── .dockerignore          # Files and directories to ignore during Docker builds\n```\n\n## Prerequisites\n\n- **Node.js** (LTS version recommended)\n- **Expo CLI**: Install globally via `npm install -g expo-cli`\n- **Yarn** or **npm** for package management\n- **Docker** (optional, for containerized development)\n\n## Environment Variables\n\nThe app may require environment variables for configuration (such as API endpoints or public keys). Create a `.env` file in the project root:\n\n```env\n# Example .env.local file\nAPI_URL=https://api.example.com\nSENTRY_AUTH_TOKEN=your_auth_key\n```\n\n\u003e **Note:** Do not commit sensitive values in your `.env` file.\n\n## Installing and Running Locally\n\n1. **Clone the Repository**\n\n   ```bash\n   git clone https://github.com/SPerekrestova/medsrecognition-frontend.git\n   cd medsrecognition-frontend\n   ```\n\n2. **Install Dependencies**\n\n   ```bash\n   npm install\n   # or using Yarn:\n   yarn install\n   ```\n\n3. **Start the Expo Development Server**\n\n   To launch the development server:\n\n   ```bash\n   npm start\n   # or for platform-specific commands:\n   npm run android\n   npm run ios\n   npm run web\n   ```\n\n   Follow the on-screen instructions to open the app on your device, simulator, or browser.\n\n## Docker Setup\n\nFor a consistent development environment or to simplify deployment, you can run the app inside Docker.\n\n### Running with Docker\n\n1. **Build the Docker Image**\n\n   ```bash\n   docker build -t medsrecognition-frontend .\n   ```\n\n2. **Run the Container**\n\n   ```bash\n   docker run -it -p 19000:19000 -p 19001:19001 -p 19002:19002 medsrecognition-frontend\n   ```\n\n   _Alternatively, using Docker Compose:_\n\n   ```bash\n   docker-compose up\n   ```\n\n## Contributing\n\nContributions are welcome! To contribute:\n\n1. Fork the repository and create your feature branch:\n\n   ```bash\n   git checkout -b feature/YourFeature\n   ```\n\n2. Commit your changes with a descriptive message. Meet the [commit convention](https://www.conventionalcommits.org/en/v1.0.0/):\n\n   ```bash\n   git commit -m \"feat: feature name\"\n   ```\n\n3. Push your branch to your fork:\n\n   ```bash\n   git push origin feature/YourFeature\n   ```\n\n4. Open a pull request and follow the contribution guidelines.\n\nPlease ensure that your code follows the project’s coding standards and includes relevant tests.\n\n## License\n\nThis project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for more details.\n\n## Contact\n\nFor questions or feedback, please reach out to:\n\n**Frontend Author**: Daniil Krasilnikov  \n**Frontend Author Email**: [krasilnikov.orchid@gmail.com](mailto:krasilnikov.orchid@gmail.com)\n**Idea Author Email**: [svetlana.perekrestova2@gmail.com](mailto:svetlana.perekrestova2@gmail.com)\n**GitHub**: [SPerekrestova/medsrecognition-frontend](https://github.com/SPerekrestova/medsrecognition-frontend)\n\nFeel free to reach out with questions, suggestions, or feedback!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkovdanielgh%2FMedsRecognition-Frontend","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkovdanielgh%2FMedsRecognition-Frontend","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkovdanielgh%2FMedsRecognition-Frontend/lists"}