A secure authentication module to manage user access in a Streamlit application.

This python application recognizes digits from real time webcam data. The user is allowed to write the digits on the screen using an object-of-interest (a water bottle cap in this case).

This repo hold the code of a simple, fun game built using Affectiva's Emotion-as-a-Service API. An Emoji is shown on the screen and one has to mimic the emoji to score points.

This Python application uses OpenCV library to track an object-of-interest (water bottle cap in my case) and uses the detected object to draw colored lines (Blue, Green, Red and Yellow).

This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.

This python application recognizes alphabet from real time webcam data. The user is allowed to write the alphabet on the screen using an object-of-interest (a water bottle cap in this case).