Computer Vision Assisted Deep Learning Based Sitting Posture Suggestion System

A web application that combines computer vision and deep learning techniques to revolutionize sitting habits. By analyzing real-time posture through cameras, the application provides personalized feedback and recommendations for optimal alignment. This project was developed with an aim to reduce musculoskeletal issues and enhance well-being by guiding users towards healthier sitting postures.

Open Pose Model was used for real time pose detection and Python along with libraries such as OpenCV and TensorFlow were used to build this project.