Khelverse 🏆

Bridging Gaps in India's Athlete Management System

Fragmented athlete management in India leads to inefficient performance tracking, limited coach-athlete interaction, gaps in injury rehabilitation, and uncertain career prospects. Khelverse offers a comprehensive solution.

✨ Flagship Features

Khelverse is an AI-powered platform leveraging Google technologies to empower athletes:

• 🤖 Khelbott (AI Sports Assistant): Instant answers and 24/7 guidance, including specialized support for para-athletes, powered by Google's Gemini API.
• 🏋️ Live Trainer (AI Pose Estimation): Real-time exercise guidance, rep counting, and form correction using MediaPipe and OpenCV, deployed via Gradio.
• 🗓️ AI-Generated Training Plans: Personalized training plans tailored to your needs, reviewed and revised by your coach, and seamlessly integrated into your daily targets list.
• 📞 1-1 Session: Personalized virtual coaching via Google Meet integration for tailored guidance.
• 📈 Career & Retirement Planning: Intelligent career advice and comprehensive retirement plan support, powered by Google's Gemini API.
• 🤝 Smart Coach-Athlete Management: Connect with coaches by sending connection requests and utilizing in-app messaging.
• 🏆 Tournament & Event Dashboard: Easy event management for coaches and athlete registration, with integrated reminders.
• 💊🥗 Injury & Dietary Support: AI-based recovery programs and diet plans with remote coach monitoring.

🚀 Technologies Used

Khelverse is built on a robust stack, heavily utilizing Google services:

• AI/ML & Backend: Firebase, TensorFlow, Gemini API, Flask, OpenCV, MediaPipe, Node.js, Python, Gradio.
• Cloud & Deployment: Google Cloud Platform (GCP), Vercel.
• Frontend: ShadCN UI, Next.js, JavaScript.

⚙️ Quick Start Guide

1️⃣ Fork & Clone the Repository

First, fork the repository, then clone your fork locally:

git clone https://github.com/YOUR_USERNAME/Khelverse.git
cd khelverse

2️⃣ Set Up Git Branch

Create a new branch for your work:

git checkout -b feature-branch

📦 Frontend Setup (Next.js + Tailwind + ShadCN)

cd frontend
npm install
npm run dev
# Set up your Firebase credentials in .env file

🎯 AI Model Setup (Pose Estimation - Mediapipe + OpenCV)

cd raw_models/fitness-trainer-pose-estimation-master
python -m venv venv
venv\Scripts\activate # On Windows
source venv/bin/activate # On Mac/Linux
pip install -r requirements.txt
python app.py

📜 Contribution Guide

• Fork & Clone: Follow the steps above.
• Create a Branch: Use git checkout -b feature-name.
• Commit & Push: Follow Conventional Commits.
• Raise a Pull Request: Explain your feature in the PR description.

🌟 Support

💡 Found an issue? Raise an Issue.
💖 Love this project? Give us a ⭐ on GitHub! -->

"Khelverse - Fostering a stronger, more connected, and successful athletic community."