How we built it
We built "Bugün Ne Yesem" using:
Flutter for the front-end, ensuring a smooth and responsive user experience.
Firebase for authentication and cloud storage.
Dart as the programming language.
Machine Learning concepts to enhance recipe recommendations (planned for future updates).
Data Science Tools like Pandas and NumPy for analyzing ingredient data.
Challenges we ran into
Integrating AI-powered recipe recommendations required a well-structured dataset and efficient filtering mechanisms.
Ensuring a user-friendly interface while handling complex data in the background.
Managing time effectively as a solo developer.
Accomplishments that we're proud of
Successfully developing a working demo of the application.
Implementing a smooth user experience with Flutter.
Building a functional ingredient-based recipe recommendation system.
Overcoming challenges in integrating a structured dataset.
What we learned
Advanced Flutter development techniques.
Data handling and machine learning preprocessing for future AI integration.
User interface (UI) and user experience (UX) design principles for mobile applications.
Project management and working independently on a full-scale app.
What's next for "Bugün Ne Yesem"
AI-powered recommendations: Enhancing the recipe suggestion system with machine learning.
Voice and image recognition: Allowing users to input ingredients by speaking or scanning them.
Nutritional analysis: Providing health-related insights for suggested recipes.
Community sharing feature: Letting users share their recipes and experiences with others.
Cybersecurity improvements: Ensuring data privacy and security for users.
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