Classification-of-App-Reviews Collaborated in a team of three to create a web-app to classify user app reviews into 3 different categories(Python/Flask/ML). Used Naive Bayes Supervised Algorithm to train the data and classify the data into bug reports, feature requests, and sentiments. Integrated the machine learning model into the Flask application, allowing users to enter text inputs and receive instant sentiment predictions. Strict adherence to coding guidelines and meticulous documentation practices were consistently maintained.