Mainly focused on helping farmers and reducing their load. Developed a dynamic website using Python Flask with chatbots to answer agriculture-related questions; the project can calculate crop yield from inputs such as land, water supply, and fertilizers; provides crop information, growing periods, requirements, and prices; prototype model linked to repository commits for testing and refinement.

Intern at Spirit of Intelligent Life

May 1, 2022 - July 1, 2022

Developed Python-based applications with REST API integrations. Assisted in organizing and managing large datasets for analytics and reporting.

Research / Project at Personal Project

January 1, 2020 - Present

Traffic Detection project using YOLOv3 object detection and a GUI to process roadside video footage to detect vehicles and identify traffic-light violations when crossing a red line. The GUI allows loading videos, marking traffic lines, and displaying violations with bounding-box alerts. Uses OpenCV and TensorFlow for image processing and classification.