Friend_Recommendation_using_HAR

A deep learning model that recommends friends to users after recognizing their lifestyle based on the activities done by them.

Dataset - http://archive.ics.uci.edu/ml/datasets/Smartphone-Based+Recognition+of+Human+Activities+and+Postural+Transitions

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%.