Projects
This project used to accurately detect and estimate the poses of a person practicing yoga. This project provides real-time feedback to the user on the correct form and alignment of each pose, helping to enhance their yoga practice.
Gym Tracker using MediaPipe is a software system that uses the MediaPipe framework to track and monitor physical exercises performed at a gym. It captures and processes data from wearable devices or sensors to provide real-time feedback and metrics on workout performance.
Telecommunication Visualization using Machine Learning Algorithm is a system that predicts churn in the telecommunications industry. It uses exploratory data analysis and machine learning algorithms on customer behavior and usage data to identify key factors that contribute to churn. The system can make predictions on which customers are likely to leave and help reduce churn by retaining valuable customers.
