Using pre-trained image model to predict a user's BMI in real-time.
The Project aims to develop a robust model capable of accurately predict BMI and gender based on the visual informations captured in real-time.
The dataset used for the analysis comprised of 4206 images, each accompanied by its corresponding BMI an gender information.