Xiangning Lu¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

This paper presents the design and evaluation of a mobile application aimed at optimizing food inventory management and reducing food waste [1][4]. The application integrates several key features, including a food classification engine powered by the Gemini Image Processing Engine, a waste index calculation, and personalized recipe suggestions [2]. Experiments were conducted to assess the accuracy of the image processing engine under various conditions and the reliability of the waste index calculation based on user input data. The results showed that while the application performs well under optimal conditions, its accuracy and effectiveness can be affected by poor image quality and incomplete data. The paper discusses these findings and proposes improvements to address the identified limitations. Ultimately, the application provides a comprehensive and user-friendly tool for managing food resources, with the potential to significantly reduce waste and promote sustainability in households [3].

Food Inventory Management, Waste Reduction, AI Image Processing, Gemini Engine, Mobile Application