Data Science

A webapp for the prediction of the performance of Proton Exchange Membrane Fuel Cells using a variety of ensemble techniques.

A mobile app for the detection of oil spills from drone captured, live images. Convolutional Neural Networks were used to develop the model running under the hood.

An app to identify the unbalanced state of a rotating shaft based on its vibration parameters. An ensemble of traditional ML algorithms were used to develop the models

Computer vision project for the isolation of specific faults in SolarPV cells using satellite captured images. Traditional machine learning algorithms were used to develop the models in the app instead of the usually complex deep learning architectures

A webapp for the detection of phishing or malicious websites using NLP Techniques. LSTM, RNN, and GRU were used to develop the models working under the hood for prediction