Projects

Developed a mobile app that measures health metrics like heart rate, respiratory rate, blood oxygen levels, heart rate variability, and mental stress using facial video analysis. Leveraged computer vision and machine learning to extract and analyze physiological signals for non-invasive health monitoring.

Founded and developed Humsafar, a dynamic ride-sharing application offering swift, secure, and affordable transportation solutions. The platform provides seamless bookings, real-time tracking, and flexible ride options.

Developed a cutting-edge wrist-worn sleep monitoring device integrated with a user-friendly application. The device utilizes IMU sensor to track sleep patterns, providing users with insightful analytics. The accompanying app offers personalized recommendations for improving sleep quality based on gathered data.

Developed a cutting-edge face tracking camera system utilizing computer vision algorithms and machine learning techniques. The project involved real-time facial recognition, tracking, and analysis. Implemented in Python with OpenCV.