Mesterséges intelligencia által vezérelt receptajánló rendszer
2025-2026 ősz
Szoftver
Téma leírása
The project aims to develop a personalized recipe recommendation system that recommends dishes based on the user’s specified ingredients and preferences. By analyzing a recipe database (with ingredients and preparation instructions), the system will use machine learning models to match user input with appropriate recipes. The solution will implement and compare different methods, such as ingredient-based similarity search, clustering, and content-based filtering. The user interface (mobile or web application) allows for inputting ingredients, browsing suggested recipes, and saving favorites. The project focuses on practical implementation, user experience, and performance evaluation using metrics used in recommender systems.
Important note: The consultation will be in English language.
Feltételek
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Basic knowledge of: 1. Python and/or Java 2. Web or desktop application development 3. Databases 4. Machine Learning for recommendation systems, and any other skill that the student may need
Maximális létszám:
1 fő