Developed a proof of concept (POC) for a banking client to implement face verification
using Azure Face API.
Developed web app using Python, Flask, HTML and CSS, leveraging Azure Face API’s
capabilities for face detection, verification and identification.
Implemented robust error handling mechanisms and conducted extensive testing and
achieved 100% precision. Successfully demonstrated the POC to the client before the
deadline , receiving positive feedback on its accuracy, performance, and user
experience.
Developed a proof of concept (POC) for another banking client to detect and track people in videos using YOLO object detection and Deep SORT algorithm.
Developed custom software components using programming languages such as Python and utilized libraries and frameworks like OpenCV to process video data and
perform real-time people detection and tracking and achieved 82% accuracy.
