Selected Projects

This page describes a few of my projects. Please checkout my GitHub for more if you are interested.


Undergrad Capstone Project: IoT-Enabled Acoustic Trap with Real-Time AI Surveillance of Aedes

Key-words: Deep Learning Applications, IoT, Embedded Systems, Real–time object detection, Raspberry Pi, YOLOv11

Code Presentation

Overview of the proposed Aedes surveillance system. The system integrates remote capture devices with a central server for real-time monitoring of Aedes population. Client devices send live video frames to the server. The server employs YOLOv11 object detection model to identify and count Aedes mosquitoes in the frames. A web dashboard is used to access the Aedes detection results from the server.