I built an end-to-end ETL pipeline for best-selling book data, scraping with BeautifulSoup and cleaning and structuring records with Pandas before loading them into MySQL.
On the Smart Vehicle Assistance System, I developed an IoT-based ADAS for blind spot, pothole, and traffic sign detection. I deployed CNN models for real-time traffic sign recognition and used Raspberry Pi and OpenCV for edge-based visual processing.
I also built the Medical Store Locator, a location-based web app that tracks medicine availability across local pharmacies. It maps medicine searches to store inventories and uses geospatial APIs for navigation and distance tracking.
During internships at Soften Technologies and Srishti Innovative, I learned embedded system design and built responsive web interfaces using Flutter and Dart. I hold a B.Tech in Computer Science and Engineering and certifications in IoT and Python fundamentals.
