myGPTrainer

What it does

The objective of this research is to leverage the Gemini API, which can learn and recognize image data, to propose restaurants near the user by recognizing food in images. This service will provide users with a better dining experience while contributing to an improved quality of life and health by offering tailored dietary guidance. The research will utilize the gemini api to recognize and process food image data, aiming to develop an optimized artificial intelligence model capable of providing personalized dietary guidance. The project will focus on implementing AI models that can accurately recognize food items in images and calculate their nutritional content. Additionally, the research will explore the integration of customized meal plans based on individual user health data, such as weight, height, and BMI, to offer tailored dietary recommendations. To enhance the overall user experience, the research will also involve improvements in UI design, recommendations for food purchases, and the construction of a comprehensive database essential for the personalized food guide. The AI-based image recognition technology will automatically calculate the nutritional information and calories of food, and recommend meals that match the user's health goals. By providing a personalized approach to diet, the "My GPTrainer" service will help users achieve their health goals through continuous health management.