Gestures play an important role in identifying the early symptoms of a lot of diseases such as Parkinson’s, cerebral palsy and stroke. To identify these symptoms using a machine learning/deep learning model, one should have accurate and clear data.


The main goal of this project  to identify the gestures of the user using a simple deep learning model. The data will be collected  from the class using their phones through apps like Sensor Recorder (IOS) and Sensor Logger (Android). The data collected from these apps will be in a CSV format and preprocessed to be fed into the deep learning model to identify the gestures made.