Intelligent Tourism Recommendation & Image Recognition (Graduation Project, 2024-2025)

I built a full-stack tourism application that helps users discover places and get personalized recommendations. The app uses Flutter for the mobile front end, Node.js for the backend, MySQL for structured data, and Firebase for NoSQL storage and real-time features. The AI side has two parts. The first is a recommendation system that suggests destinations based on user preferences, and it generated over 2,000 recommendations. The second is a computer vision model built with TensorFlow that recognizes tourist landmarks from photos. It reached 92% accuracy on a test set of 500+ images. The app received a 4.5 user rating. The project gave me end-to-end experience, from data preparation and model training to integrating the model into a working application.

30-second version (for “tell me about your project”)

“My graduation project is a tourism app with two AI features: a recommendation system and a TensorFlow image-recognition model that identifies landmarks from photos with 92% accuracy. I also built the full app around it, with Flutter, Node.js, MySQL and Firebase, so I worked on both the AI model and its integration into a real product.”