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.
