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PoseClassifier

Pose Classification web app using ml5.js and p5.js

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Data Collection:

PoseNet model is used from ml5 library and data is collected manually for the alphabets which are used in classification model.

Model Training:

Data Collected is normalized and passed through neural network and trained for 50 epochs.

Deployment:

Trained model is used for pose classification and UI of app is developed in p5.js and deployed using github pages.