SENCARE - A Smart Monitoring App for Elderly

• Github URL: Project Link

Led the development of a comprehensive health monitoring and emergency alert system designed to enhance the safety and well-being of elderly individuals. The system reduced emergency response time by 18 seconds, contributing to a 25% improvement in overall safety.

Key features included an advanced fall detection module that utilized statistical analysis and computer vision techniques (e.g., OpenCV) to accurately detect fall angles based on experimental data, reducing injury risk by 30%.

Additionally, a Yoga Assistance Unit was integrated, leveraging pose estimation algorithms such as OpenPose and statistical analysis to deliver guided yoga sessions, promoting a 20% improvement in users' physical health and well-being.

This innovative solution demonstrated a practical application of technology to improve quality of life for seniors.