Progress This Week
This week, I focused on putting the final finishing touches on the machine learning–based recipe recommendation system. The model now successfully generates recipe suggestions by comparing the user’s fridge contents and dietary preferences (converted into a query vector) against a database of recipe feature vectors based on ingredients and tags. The system scores similarity between these vectors and returns the top 5 most relevant matches.
I also completed integration of the recommendation system with the mobile app UI, ensuring that the results are displayed clearly and consistently. With this, the core functionality of the recommendation feature is now fully implemented and ready for demo.
Project Status
The project is on track to be completed within the next two days. The major components of the app—including user authentication, computer vision integration, backend data handling, and the recipe recommendation system—are now in place. Final testing and polishing are underway to ensure a smooth and cohesive user experience across all features.
Next Steps
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Finish the project report and video
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Prepare for final demo.