Abstract: The Food Recipe Finder system is an innovative platform that combines Artificial Intelligence (Gemini AI) and SQL database querying to assist users in discovering recipes. The system offers two key functionalities: the first allows users to upload food images or provide food names to receive a list of ingredients and detailed recipes through Gemini AI, while the second enables users to input available ingredients to receive recipe suggestions from a MySQL database. This approach helps users efficiently plan meals, optimize kitchen resources, and reduce food waste. The system is built with a user-friendly interface, integrating Flask for backend management and Gemini AI for image and text processing. The results show that the system performs well in both food-to-recipe generation and ingredient-to-recipe matching, providing fast and accurate suggestions. Overall, the Food Recipe Finder proves to be an effective tool for home cooks, enhancing convenience and supporting creative meal planning. Future enhancements will aim to expand the recipe database, improve AI capabilities, and optimize the platform for mobile use.

| DOI: 10.17148/IJIREEICE.2025.13470