Pose Perfect Preacher

Consists of 2 part: Bharatnatyam and Yoga
Starting page
3 Levels: Beginner,Intermediate,Advance

Inspiration: Few domestic helpers struggling to learn Bharatnatyam but were unable to find a way, we took this opportunity as a challenge and make an exceptional Application to teach students from Zero to Hero level using machine learning and deep learning

What it does It contains AI and ML to detect pose and analyse them . It is a platform of people for different ag groups to come together and correct themselves in the domain of Dance and yoga . It will detect angle and recognize whether it is perfect pose or not. This also contains Emotion recognition and Sign detection which is a vital aspect of Classical Dance.

How I built it: This Module is built using Python as the backend . Front end is built using Streamlit

Challenges I ran into: We faced few errors while writing code for backend . Front end was also new for all of us but somehow we learnt it and could complete.

Accomplishments that I'm proud of:

We just completed our second Year of Engineering in Computer Engineering, Front end part was a new endeavor for all of us. We are really happy that we could learn it and could successfully complete the project.

What I learned:

We are amateur coders had never developed a fully web based application. This was indeed an exceptional opportunity to learn front end and and back end coding. We also learnt some concepts in deep learning and machine learning and debugging the models.

What's next for Pose Perfect Preacher

The future scope for Pose Perfect Preacher involves expanding the model to other Classical Dance Forms and other games. It will further also involve various other models for better analysis and performance.