Background

My journey began with a passion for computer vision, leading me to develop a real-time face mask detection system using deep learning techniques.

Skills

Proficient in C, Java, AutoCAD, and ANSYS, blending programming with engineering tools.

Educational Journey

Mask Detector

System Design

Designed a computer vision pipeline using deep learning models to accurately detect face masks in various lighting conditions.

Performance

Achieved over 95% accuracy in mask detection with real-time processing speeds suitable for live monitoring.

User Interface

Created a clean and intuitive UI that clearly shows mask status and alerts for easy monitoring in public spaces.

Project Impact

This project supports health safety by enabling quick identification of mask compliance in crowded areas.

Gallery

Snapshots showcasing the face mask detection system in action.