Developed and deployed a full-stack mobile
application integrating computer vision for landmark
recognition with a response accuracy of ~90%+ on
test cases.
Built a personalized recommendation system that
increased relevance of suggestions based on user
behavior and preferences.
Implemented data preprocessing, feature extraction,
and model tuning, improving prediction reliability
and reducing noise in inputs.
Designed scalable backend APIs and connected
them with a Flutter frontend to ensure smooth user
experience and real-time interactions.
