DeepGenomotion is an android application that uses deep learning inspired augemented reality filters.

We use inference from our custom gender and emotion model to draw ar filter on real-time camera feed with inference rate of 25 to 100 ms for inference on single image.

• Gender Model is a MobileNet_V1_224_0.5 model trained on IMDB-WIKI celebrity face dataset.
• Emotion Model is a MobileNet_V2_224_1.4 model trained on AffectNet Dataset containing 1m facial images and 11 classes of emotion
• Both model are trained using tensorflow and then the trained graph is converted into Tensorflow Lite for serving.
• We use MobileVision API for facial landmark detection.