{"id":24955406,"url":"https://github.com/devhabeeblateef/image-recognition-aws","last_synced_at":"2026-05-16T08:12:28.160Z","repository":{"id":273241227,"uuid":"919085556","full_name":"devhabeeblateef/image-recognition-aws","owner":"devhabeeblateef","description":"This project is a web-based application that leverages AWS Rekognition to analyze images and detect labels (objects, scenes, or activities) within them. 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Built with **Node.js** and **Express**, it provides an easy-to-use interface for exploring AWS Rekognition's powerful image analysis capabilities.\n\n## Features\n\n- Upload images directly through the web interface.\n- Analyze images using AWS Rekognition and retrieve:\n  - Detected labels\n  - Confidence scores\n- Clear and intuitive user interface built with **EJS**.\n\n## Installation\n\nFollow these steps to set up and run the project locally:\n\n### Prerequisites\n- Node.js installed on your machine.\n- AWS account with access to AWS Rekognition.\n- AWS credentials (`accessKeyId`, `secretAccessKey`, and `region`) configured.\n\n### Steps\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/devhabeeblateef/image-recognition-aws.git\n   cd image-recognition-app\n   ```\n\n2. Install dependencies:\n   ```bash\n   npm install\n   ```\n\n3. Configure AWS credentials:\n   Update the AWS configuration section in `app.js` with your **AWS Access Key ID**, **Secret Access Key**, and **Region**:\n   ```javascript\n   AWS.config.update({\n       accessKeyId: 'YOUR_AWS_ACCESS_KEY_ID',\n       secretAccessKey: 'YOUR_AWS_SECRET_ACCESS_KEY',\n       region: 'YOUR_REGION'\n   });\n   ```\n\n4. Create a `uploads` folder for storing uploaded images temporarily:\n   ```bash\n   mkdir uploads\n   ```\n\n5. Start the server:\n   ```bash\n   node app.js\n   ```\n\n6. Open the app in your browser:\n   ```\n   http://localhost:3000\n   ```\n\n## Usage\n\n1. Access the app at `http://localhost:3000`.\n2. Upload an image file (JPEG, PNG, etc.).\n3. View the detected labels and their confidence scores.\n\n## Project Structure\n\n```\nproject-root/\n│\n├── app.js                # Main server file\n├── views/                # EJS templates\n│   └── index.ejs         # Main front-end template\n├── public/               # Static files (CSS, JS, images, etc.)\n├── uploads/              # Temporary storage for uploaded images\n├── package.json          # Dependencies and scripts\n├── package-lock.json     # Lock file for exact dependency versions\n└── README.md             # Project documentation\n```\n\n## Dependencies\n\n- [AWS SDK for JavaScript v3](https://github.com/aws/aws-sdk-js-v3)\n- [Express.js](https://expressjs.com/)\n- [Multer](https://github.com/expressjs/multer) (for handling file uploads)\n- [Body-parser](https://github.com/expressjs/body-parser)\n- [EJS](https://ejs.co/)\n\n## Contributing\n\nContributions are welcome! Feel free to:\n- Fork the repository.\n- Create a feature branch.\n- Submit a pull request with your changes.\n\n## License\n\nThis project is licensed under the MIT License. See `LICENSE` for more details.\n\n---\n\n## Acknowledgments\n\n- [AWS Rekognition](https://aws.amazon.com/rekognition/) for its powerful image analysis capabilities.\n- The open-source community for supporting libraries like Express and Multer.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevhabeeblateef%2Fimage-recognition-aws","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevhabeeblateef%2Fimage-recognition-aws","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevhabeeblateef%2Fimage-recognition-aws/lists"}