https://github.com/soumilgit/cc-mini_project

Takes footballer images as input, and outputs based on AWS Rekognition their names. Also, added a form at the end to take user feedback for adding other footballers to our custom dataset.
https://github.com/soumilgit/cc-mini_project

Last synced: 4 months ago
JSON representation

Takes footballer images as input, and outputs based on AWS Rekognition their names. Also, added a form at the end to take user feedback for adding other footballers to our custom dataset.

• Host: GitHub
• URL: https://github.com/soumilgit/cc-mini_project
• Owner: Soumilgit
• License: mit
• Created: 2025-04-22T21:31:37.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-10-08T06:46:09.000Z (9 months ago)
• Last Synced: 2026-02-22T17:58:14.031Z (4 months ago)
• Language: HTML
• Homepage: https://my-ftbl-bucket.s3.us-east-1.amazonaws.com/index.html](https://my-ftbl-bucket.s3.us-east-1.amazonaws.com/index.html
• Size: 7.66 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# AWS Serverless Architecture

![image](https://github.com/user-attachments/assets/443505c9-234d-4458-b8d4-d8a30500355e)

# Footballer Face Recognition – Serverless AI Project

End-to-end serverless web application that identifies professional football players using facial recognition powered by **Amazon Rekognition**. Built with a modern frontend and deployed on a secure, scalable AWS architecture using **Lambda, S3, API Gateway, CloudFront, and Route 53**.

## Features

- Real-time footballer face recognition

- Secure HTTPS hosting via **CloudFront + Route 53**

- Ultra-fast, low-latency responses using **AWS Lambda**

- 90% threshold matching via **Amazon Rekognition**

- Hosted static frontend using **Amazon S3**

- Formspree integration for dataset suggestions

- Mobile-responsive UI with **TailwindCSS**

- Automatic HTTP to HTTPS redirection

---

## Architecture

**Tech Stack:**

| Component      | Technology                 |

|----------------|----------------------------|

| Frontend       | HTML, CSS, JS, TailwindCSS |

| Hosting        | Amazon S3 + CloudFront     |

| Backend Logic  | AWS Lambda (Python)        |

| API Gateway    | AWS API Gateway (REST)     |

| Image Matching | Amazon Rekognition         |

| Auth & Roles   | IAM                        |

| Suggestions    | Formspree.io               |

| Domain + HTTPS | Route 53 + CloudFront      |

---

## Flow Overview

1. User uploads a footballer image via web form.

2. Image is encoded in Base64 and sent to API Gateway.

3. Lambda function decodes it and calls Rekognition's `search_faces_by_image`.

4. Player name is matched and returned to the frontend.

5. Users can also suggest new players via a Formspree-powered form.