Built at LTCE Hackathon 2025
AI-driven Yoga Pose Detection System providing real-time posture feedback using Computer Vision.
Project Yoga brings together Artificial Intelligence, Computer Vision, and Wellness.
Our model detects and evaluates yoga postures in real-time, helping users refine their form through instant, visual feedback.
Traditional Indian arts like Yoga, Dance, and Music rely heavily on in-person mentorship.
Online sessions often lack personalized guidance and pose correction.
Our mission:
- 🧠 Detect yoga poses with AI-based vision models.
- 📊 Provide instant accuracy feedback for posture improvement.
- 🌍 Make yoga learning accessible to everyone — anytime, anywhere.
- 🔍 Real-Time Pose Detection (OpenCV + MediaPipe / YOLO)
- 🧠 Smart Accuracy Feedback
- 🎥 Live Webcam Integration
- 💻 Streamlit-Based UI
- ☁️ Deployable on Cloud Platforms
- 🧘♀️ User-Friendly Design for All Ages
| Category | Technologies Used |
|---|---|
| Language | Python |
| Framework | Streamlit |
| Vision & AI | MediaPipe, OpenCV, YOLO |
| ML Libraries | NumPy, TensorFlow / PyTorch |
| Visualization | Matplotlib, Plotly |
| Version Control | Git, GitHub |
| Name | Role | GitHub |
|---|---|---|
| Pratham Harer | Machine Learning Engineer | @prathamharer |
| Pranay B. | ML/AI Developer | @pranayb1256 |
| Hrishkesh Dongare | Backend Roles | @Hrishi-Code-tech |
| Aditya Bhosale | Frontend Roles | @aditya-students |
🏆 Built collaboratively during the LTCE Hackathon 2025
📌 Insert system workflow diagram below (webcam → pose model → feedback → display)
| Dashboard | Pose Detection | Feedback |
|---|---|---|
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📊 Project Presentation Deck:
You can also include screenshots of key slides here 👇
⚙️ Installation & Setup (Click to Expand)
# 1️⃣ Clone the repository
git clone https://github.com/yourusername/Project-Yoga.git
cd Project-Yoga
# 2️⃣ Install dependencies
pip install -r requirements.txt
# 3️⃣ Run the Streamlit app
streamlit run app.py