A deep learning model that recommends friends to users after recognizing their lifestyle based on the activities done by them.
Language Used - Python
Framework Used - Pytorch
Architecture - Human Activity Recognition is done using a Convolutional Neural Network fused with features extracted from the data in the final FC layer which gives a test accuracy of 96.5%.