Real-Time Defect Detection for Glove Packaging
Developed a computer vision system using YOLO for real-time defect detection in medical glove packaging lines.
Project Highlights - Start Here:
Computer Vision & IoT
Deep Learning & GIS
Azure IoT
Developed a computer vision system using YOLO for real-time defect detection in medical glove packaging lines.
Developed a document analysis and conversational AI platform leveraging Azure Document Intelligence and Azure OpenAI, optimizing internal knowledge access.
Designed and deployed a full lead-lifecycle automation system (from lead harvesting to player conversion and cluster-based retention) that replaced manual ma...
Engineered game logic, mechanics, and a 3D interactive front-end for the Neuball mobile game using React.js and Babylon.js.
Implemented a recommendation engine using NLP and cosine similarity to suggest personalized movies.
Designed an IoT system using Azure and Power Automate to monitor air quality and temperature in real time.
Built a Flask–React web app to predict water potability using machine learning on public datasets.
Applied deep learning and remote sensing data to predict future river path changes in the Deduru Oya basin.