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Created 4 years ago
Pytorch Zero2GAN Course Project
Facial Emotion Recognition for a Recommendation System
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Objective: Face Emotion Recognition project aims at predicting the emotions of the user based on their facial image.
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Motivation: The motivation for this project came from the recommendation systems. Often we see products recommended based on the user's search history, watch history , purchase history etc. These sort of systems depend on the past history and records. We with this project want to use real-time recommendation system. The system will use our model to predict the emotion of the user based on his facial expressions and will recommend products to suit the mood of the user.
Special thanks to course Instructor Aakash From JovianML Community
# Mounting your google drive in order to download & load the dataset and save the trained model.
from google.colab import drive
drive.mount('/content/gdrive')Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly
Enter your authorization code:
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Mounted at /content/gdrive
!pwd/content