https://github.com/pseudocoder16/athbond
Connect. Trust. Play.
https://github.com/pseudocoder16/athbond
expressjs mediapipe mongodb nodejs opencv tensorflow
Last synced: 3 months ago
JSON representation
Connect. Trust. Play.
- Host: GitHub
- URL: https://github.com/pseudocoder16/athbond
- Owner: PseudoCoder16
- Created: 2025-09-20T19:15:15.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-21T03:09:58.000Z (9 months ago)
- Last Synced: 2025-09-21T05:36:00.334Z (9 months ago)
- Topics: expressjs, mediapipe, mongodb, nodejs, opencv, tensorflow
- Language: JavaScript
- Homepage: https://athbond.onrender.com/
- Size: 201 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Genignite Pre-Hackathon Submission Template
---
The Submission Template for GenIgnite Pre-Hackathon IPEC
## 1. Problem Statement Name
AI-Powered Sports Talent Ecosystem
---
## 2. Problem Statement Description
Our platforms ensures that no athlete is left unseen. So we
have created an AI-powered video assessment with gamified
dashboard with performance score. we give every player
from rural villages to metro cities -- a fair chance to
showcase their skills. It also empowers ex-athletes as
coaches to get recognition and financial support.
---
## 3. Project Overview
How It Works (Flow)
- Athlete uploads training video
- AI analyzes→ feedback + risk alerts
- Coaches review & mentor athletes
- Gamified challenges & leaderboards
---
## 4. Architecture
- **Frontend:** HTML/CSS dashboard for auth, athlete and coach
- **Backend:** FastAPI server for authentication, Node.js and Express.js
- **Database:** MongoDB Atlas
- **AI Services:** MediaPipe and OpenCV for pose detection & Tensorflow framework & ML modal evolution matrix
- **Deployment:** Dockerized microservices on Render
---
## 5. Tech Stack
The technologies used for this project are:
- Frontend: HTML , CSS
- Backend: Node.js, Express.js
- Database: MongoDB
- AI/ML: MediaPipe and OpenCV for pose detection &
Tensorflow framework & ML modal evolution matrix
- GitHub Actions
---
## 6. Team Name
CodeSpecs
---
## 7. Team Members & Details
| Name | Role | Email | LinkedIn | College Name | |
|---------------------|---------------------|-----------------------------|---------------------------------|-----------------------------------| |
| Vansh Jain | Team Lead, Backend | vanshjain4520@gmail.com | [LinkedIn](https://www.linkedin.com/in/vansh-jain-567506219) | SRM IST NCR |
| Atishay Jain | Backend | aj3026@srmist.edu.in | [LinkedIn](https://www.linkedin.com/in/atishay-jain-433594326) | SRM IST NCR |
| Yash Vardhan Raj | Database | yashvar.raj16@gmail.com | [LinkedIn](http://www.linkedin.com/in/yashvardhan-raj) | SRM IST NCR |
| Yuvraj Singh | Frontend & AI | singhyuvraj1051@gmail.com | [LinkedIn](http://www.linkedin.com/in/yuvraj-singh-7b4209191) | SRM IST NCR |
| Ankur Pratap Singh | Frontend & AI | ankurpratapsingh0303@gmail.com | [LinkedIn](http://www.linkedin.com/in/ankurpratapsingh0303) | SRM IST NCR |
| Aryan Gupta | Deployement & PPT | ag9957@srmist.edu.in | [LinkedIn](http://www.linkedin.com/in/aryan-gupta-37bb24329) | SRM IST NCR |
| [Add more members as needed] | [Role] | [Email] | [LinkedIn] |
---
## 8. Additional Links
N/A
---
## 9. Instructions for Evaluators
Clone the repository, install dependencies with `npm install`, and run `npm start`. The auth dashboard is accessible at `/src`. See the documentation for API endpoints.
---
## Submission Guidelines
- **Copy this template exactly.** Do not change section names or order.
- **Fill in every section clearly and professionally.**
- **Include accurate contact details for all team members.**
- **Provide working links to demos and repositories.**
- **Add architectural diagrams if possible (as images or markdown).**
- **Use professional, concise language.**
---
Thank you for your submission and participation in GenIgnite Pre-Hackathon at IPEC!
---
**Team HackWithIndia x Devnovate**