AI Meal Planning & Nutrition Management App 'Oishii Kenko' Updates LLM Image Analysis, Completing Records with One Photo

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Oishii Kenko Inc. has introduced LLM-based image analysis to its AI meal planning and nutrition management app 'Oishii Kenko.' This update allows users to complete meal records with just one photo, improving estimation accuracy and enhancing the overall meal logging experience.

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Oishii Kenko Inc. has introduced LLM-based image analysis to its AI meal planning and nutrition management app 'Oishii Kenko.' This update allows users to complete meal records with just one photo, improving estimation accuracy and enhancing the overall meal logging experience.

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Source: https://prtimes.jp/main/html/rd/p/000000165.000043855.html | Date: Date unavailable

Oishii Kenko Inc. (CEO: Tetsuya Nojiri), which operates the AI meal planning and nutrition management app 'Oishii Kenko' under the concept of 'AI for the family,' has begun offering an image analysis function using LLM for meal recording within the app. This allows for more flexible estimation of meal content from a single photo than before, aiming to provide a satisfying meal recording experience. ■ Background of Development Meal recording is an important method for health management and dietary therapy. However, in reality, it is not easy to continue recording in a busy daily life, and sometimes a certain level of specialized knowledge is required to understand nutritional intake from recorded content. While 'recording with photos' is excellent for its ease of use, conventional image analysis often resulted in estimation results that did not perfectly match actual meals, requiring users to make manual corrections. Therefore, this new function adopts an analysis method utilizing LLM (Large Language Model) to improve estimation accuracy and achieve a smoother recording experience. ■ Overview of LLM Image Analysis This function enables LLM to estimate meal content more naturally than before by analyzing the overall context of a meal photo. Furthermore, on iOS apps, estimation is also possible from photos of nutrition labels. ・Reduced operational effort: LLM estimates food based on the overall context of the image, reducing the hassle of misrecognition or re-selection. ・Easier to continue recording: Since meal content is automatically estimated from a single photo, steps such as text input can be significantly simplified. ・Accuracy of nutrition tracking: By recording content closer to actual meals, nutritional values such as energy and salt can be confirmed more accurately. 'LLM Image Analysis' screen image ■ Future Outlook: Towards 'AI for the family' that enables nutrition management without hassle Under the service concept of 'Everyone can eat deliciously and healt

AI Meal Planning & Nutrition Management App 'Oishii Kenko' Updates LLM Image Analysis, Completing Records with One Photo

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