{"id":29431726,"url":"https://github.com/soumilgit/cc-mini_project","last_synced_at":"2026-02-26T06:10:25.240Z","repository":{"id":289362257,"uuid":"971001928","full_name":"Soumilgit/CC-Mini_Project","owner":"Soumilgit","description":"Takes footballer images as input, and outputs based on AWS Rekognition their names. 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Built with a modern frontend and deployed on a secure, scalable AWS architecture using **Lambda, S3, API Gateway, CloudFront, and Route 53**.\n\n## Features\n\n- Real-time footballer face recognition\n- Secure HTTPS hosting via **CloudFront + Route 53**\n- Ultra-fast, low-latency responses using **AWS Lambda**\n- 90% threshold matching via **Amazon Rekognition**\n- Hosted static frontend using **Amazon S3**\n- Formspree integration for dataset suggestions\n- Mobile-responsive UI with **TailwindCSS**\n- Automatic HTTP to HTTPS redirection\n\n---\n\n## Architecture\n\n**Tech Stack:**\n\n| Component      | Technology                 |\n|----------------|----------------------------|\n| Frontend       | HTML, CSS, JS, TailwindCSS |\n| Hosting        | Amazon S3 + CloudFront     |\n| Backend Logic  | AWS Lambda (Python)        |\n| API Gateway    | AWS API Gateway (REST)     |\n| Image Matching | Amazon Rekognition         |\n| Auth \u0026 Roles   | IAM                        |\n| Suggestions    | Formspree.io               |\n| Domain + HTTPS | Route 53 + CloudFront      |\n\n---\n\n## Flow Overview\n\n1. User uploads a footballer image via web form.\n2. Image is encoded in Base64 and sent to API Gateway.\n3. Lambda function decodes it and calls Rekognition's `search_faces_by_image`.\n4. Player name is matched and returned to the frontend.\n5. Users can also suggest new players via a Formspree-powered form.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumilgit%2Fcc-mini_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoumilgit%2Fcc-mini_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumilgit%2Fcc-mini_project/lists"}