I build AI-powered features for web applications, including computer vision-based detection systems. I developed a hazard detection prototype using TensorFlow and OpenCV that achieved 92% accuracy, with a Flask backend for real-time processing. I'm well-suited for projects that need a working AI prototype, proof-of-concept, or a specific detection feature added to an existing app — rather than large-scale production ML systems.

Understanding your use case and available data

Building/adapting a detection model for your needs

Backend integration (Flask/Python)

Testing and refining results

Delivery with documentation

Your use case (what should the system detect/analyze?)

Sample data or images if available

Scope — proof-of-concept vs. full integration