The project can assist in determining the legitimacy of information to combat spread of fake news. PassiveAggressiveClassifier can be used to distinguish between true and fake news.
This project involves creating a system that can analyze a person’s photograph and determine their age and gender. Python and the OpenCV library may be required.
The system continuously monitors driver's eyes and alerts him with alarms if system detects that the driver often closes his eyes. OpenCV, Keras, etc., are needed for this project.
It examines a customer's regular spending patterns to determine if it’s fraudulent or legitimate transaction. Customer’s transactions are fed into ANNs or logistic regressions.
This project uses R language to generate a ML-based recommendation system. A filtering procedure is used to send recommendations based on users' browsing history and interests.