AI Research Intern
CEAMLS AI Research Institute
06.2024 - 08.2024
- Developed and optimized a real-time vehicle detection system using OpenCV,integrating computer vision techniques to track parking space occupancy and detect available spaces,while ensuring robust performance under various conditions.
- Utilized Pandas and Numpy for data analysis and manipulation,processing large datasets to identify parking patterns, and leveraged Mattplotlib for data visualization,presenting insights to optimize parking demand forecasting and management .
- Integrated predictive modelling and vehicle tracking system to provide real-time parking availability updates ,collaborating with cross-functional teams to enhance parking efficiency and improve the user experience.
