Cardiovascular Diseases Detection Using Supervised Machine Learning Techniques
Abstract
Our project aims to utilize advanced Machine Learning and Image Processing techniques to detect stress in employees. Unlike previous stress detection systems that lacked live detection and personal counselling, our system includes both, and regularly analyses employees to identify their levels of physical and mental stress. The system provides proper remedies for stress management and periodically distributes survey forms to employees. The main objective of our system is to promote a healthy and positive working environment, enabling employees to perform their best during working hours. Our system is designed to be user-friendly, easily understandable, and incorporates classic Machine Learning algorithm.
Keywords
Cardiovascular, Machine Learning Techniques