Tech Enthusiast | Undergraduate Student | C/C++, JavaScript | Game development , Web , Machine Learning

codeforces

github

Kunal Sonne  • Peerlist

•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.

CrowdSense: Predicting and visualising real time crowd metri

•Developed and deployed a scalable Heart Health Monitoring web application using Flask for backend development and HTML/CSS for responsive frontend design.

•Implemented hybrid machine learning model using a Stacking ensemble technique, achieving an accuracy of over 90% in predicting the likelihood of heart disease based on a public health dataset of over 1000 records.

•Optimized model performance by integrating multiple algorithms, resulting in a 15% improvement in prediction accuracy. Integrated a user-friendly dashboard to visualize health metrics and trends, improving patient insights
into their heart health status.