Designed Autoencoder based model to perform sentence similarity to identify when user feedback should be considered

Used Google’s Universal Encoder Model followed by clustering to predict context specific similarity

Productionized the solution by deploying it on Flask app, researching on Big Data services which adhere to the requirements