CrowdSense: Predicting and visualising real time crowd metri

•Leveraged Computer vision to enable reduction in response time for event management teams by optimizing resource distribution during high-traffic events. •Integrated OpenCV for real-time video processing, enabling accurate detection of crowd sizes and dynamic updates to maps with live crowd information. •Developed and trained a machine learning model on a dynamic dataset of previous data entries to predict future crowd densities and trends effectively. •Collaborated with a cross-functional team to enhance UI/UX design, ensuring seamless integration between the frontend and backend for a user-friendly experience.