ML Intern
- Developed and fine-tuned a Machine Learning Model using Python and OpenCV for precise vehicle detection
and counting..
• Processed and organized a dataset comprising over 15,000 vehicle images.
• Implemented efficient data management techniques and creating dedicated folders for storing detected vehicle
pictures.
• Integrated Node-Red with Raspberry Pi and cloud platforms to streamline data flow, enabling real-time data
processing, storage, and remote access for enhanced operational efficiency.
• Executed an intelligent vehicle classification system, accurately categorizing vehicles into various types,
including Small Cars, Large Cars, and Trucks.
• providing valuable insights for traffic management and analysis.
• Skills: Python, OpenCV , Node Red