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Mask Detection App

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Apoorva Sunil Chakkamallisery

Project Timeline

Mar 2022 - Mar-2022

OVERVIEW

This project involves developing a Mask Detection Application using MATLAB App Designer. The app uses image processing and machine learning techniques to detect whether a person is wearing a mask or not. The graphical interface (GUI) allows users to upload an activate a webcam, process the input, and display the detection results with clear visual indicators. A pre-trained deep learning model is integrated to classify images as “Proper mask” or “No Mask.” The project demonstrates the application of computer vision, deep learning, and GUI development in MATLAB to create a user-friendly detection app.

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SKILLS

MATLABGUI DesignDeep LearningImage/Real-time detection
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Apoorva Sunil Chakkamallisery

Biomedical Engineer

MEng Biomedical Engineering student at College of Engineering Boston University, passionate about bringing healthcare technologies from concept to impact. I have 2 years of research experience in EEG signal acquisition and analysis and am now transitioning toward product development and product management. I’m especially interested in how engineering, design, and strategy come together to create user-centered medical technologies that improve patient outcomes.