I built a real-time computer vision surveillance system in Python using YOLOv8 and OpenCV to detect objects and flag anomalies in video feeds with real-time alerts.
For the surveillance project, I created a FastAPI backend integrated with a React dashboard to display live data. I also developed a generative AI chatbot with role-based access control for Admin, HR, and Employee interactions.
At GreenAI, NASTP, I evaluated crop detection and classification models and analyzed multispectral data for NDVI heatmaps. I proposed and implemented architectural improvements that increased model parameterization and accuracy for complex crop classification tasks.
