Facial image recognition is increasingly becoming more relevant in today's day and age. Many industries, especially within social media, have seen applications for image classification algorithms. Examples range from detection of heroin smugglers from camera footage to differentiation of whether someone is a dog or cat person. These systems have potential to perform complex tasks at a scale far beyond human capacity.
In this project, we aim to develop a facial image recognition system which could classify people into the correct genders (male/female). Use cases include verification of biometrics, identification of people, health tracking/analysis, etc.