Using a russian online marketplace company Avito’s dataset containing features like: UserID ProductID AdID UserDemoraphics AdPosition Click …. and many more. The main aim was to produce personalized product recommendation based on the user interaction with products and similarity with other users. I have tried to prevent any monotonus recommendations by keep the accuracy low to include different products. LightFM model was used to include both user and Ad meta deta to determine the same.

Aim of the project was to build a object detection model to identify whether a person is wearing a mask or not. In the time of this ongoing pandemic, we are forced to wear mask whenever we go outside, hence this can be used by various offline stores or offices to be aware that whether a customer/employee is entering without a mask and hence preventive measures can be taken. Model is yet to be tuned as the framerate is slow and hence need extra resources to make it work in realtime.