On Kidyzer, I prepared, cleaned, and annotated data, retrained a YOLOv8m model to detect positive classroom interactions, and contributed to the interface and model integration. The project achieved 84% accuracy.
For WashingtonDaily Bike Rides, I analyzed bike ride, station, and weather data to explore factors influencing daily revenue. I used Python visualization and GeoPandas to work with the data.
On the Intelligent Image Retrieval System, I developed the interface and integrated core modules, fine-tuned YOLOv5 for clothing detection, and implemented computer vision methods including HOG and face and person detection.
As an AI Coach at AI Minds, I deliver workshops and courses in Prompt Engineering and Data Analysis, and create training materials. I also worked as an AI Engineer Intern at Misraj AI and volunteered with the RBCs student team and as an IOAI Coach.
