YogaAI

chatbot result part 4 for entering back pain with link to try the real time pose detection
interface for the pose detection
the rest of the interface for pose detection (buttons)
result of pose detection if done correctly
chatbot result part 3 for entering back pain
chatbot result part 1 for entering back pain
chatbot result part 2 for entering back pain
homepage with the chatbot box for generating yoga poses based on symptoms , pain and other

Our team was inspired by the challenge of making wellness more accessible to communities through technology. With the rising interest in home fitness and the challenges many face in accessing professional yoga instruction, we saw an opportunity to create an innovative solution that aligns perfectly with AstonHack's "Hack for Impact" theme. Community Impact & Innovation We developed an AI-powered yoga pose detection system that:

Makes professional yoga instruction accessible to everyone Helps prevent injuries from incorrect form Creates a bridge between technology and wellness Supports both beginners and experienced practitioners

Technical Journey Our team tackled this challenge through several innovative approaches:

Data Collection System

Developed a robust image collection pipeline Created a persistent storage system for training data Implemented real-time camera integration

Machine Learning Implementation

Built a custom pose detection model Integrated OpenCV for real-time processing Created an expandable system for new pose additions

User Experience Focus

Intuitive interface for both training and usage Clear visual feedback system Simple pose capture process

Challenges & Solutions We encountered several challenges that pushed us to think creatively:

Training Data Management: Solved by implementing a persistent storage system that maintains training data across sessions Real-time Processing: Optimized our code for smooth performance during live detection User Accessibility: Created clear instructions and feedback mechanisms

Learning & Growth This project helped our team:

Master new computer vision techniques Understand the complexities of ML model training Improve our collaborative coding practices Learn about user experience design

Future Potential Our project has real-world applications beyond the hackathon:

Integration with online fitness platforms Use in physiotherapy and rehabilitation Potential for expansion to other forms of exercise Community yoga centers and studios