This project is a real-time face recognition system leveraging AWS services such as Lambda, S3, Rekognition, and API Gateway. The backend is built with Node.js, while the frontend is developed using React.js. The system enables secure image upload, face detection, and user identification with a fully serverless architecture.
- Real-time Face Recognition: Detect and identify faces in uploaded images.
- Serverless Architecture: Uses AWS Lambda, S3, and API Gateway for seamless performance.
- Secure API Endpoints: Ensures safe and efficient processing of images.
- React.js Frontend: Provides an interactive and user-friendly interface.
- Frontend: React.js
- Backend: Python, AWS Lambda
- Database & Storage: AWS S3
- Face Recognition: AWS Rekognition
- API Management: AWS API Gateway
- Clone the repository:
git clone https://github.com/your-username/face-recognition-aws.git cd face-recognition-aws - Install dependencies:
npm install
- Set up AWS credentials and configure the required services.
- Run the application:
npm start
Feel free to submit issues or pull requests to improve this project.
This project is open-source and available under the MIT License.