A simple Implementation of Reinforcement Learning in python using Keras-rl library.

Implement a Face Recognition system in python using machine learning/deep learning technique, which recognizes the face detected from an image using OpenCV. Utilize OpenCV to crop the detected face, which should be input to the AI model to predict the name/label associated with the faces.

Detect Facial Emotion using OpenCV and machine learning/Deep learning. Where OpenCV is utilized to get accurate face image from video frames either streamed from Camera or video files. Once Face is detected in video frame it must be inputted to trained AI model to predict facial emotion. Perform appropriate image processing technique required to the train the AI model.

Detect pothole in video stream either from camera input or video files. Detect the pothole from video frame per second using OpenCV utilizing image processing techniques like :

1. Contour detection
2. edge detection or Canny edge filter algorithm.