MyNetDiary’s new AI photo-analyzer streamlines nutrition tracking by scanning meals
MyNetDiary, a nutrition and diet app, unveils its next-generation AI Meal Scan, which enables smart meal tracking to make the process faster, easier and more accurate.
AI Meal Scan uses advanced image recognition technology and proprietary food analysis algorithms to simplify tracking nutrition. By snapping a photo of their meal, users can log an entire plate of different foods — including toppings and sauces — within seconds.
The AI identifies multiple items in a single image, estimates portion sizes and calculates up to 107 nutrients using MyNetDiary’s database of 1.7 million verified foods.
With an accuracy rate that estimates food amounts around ±20% — outperforming human estimates without a food scale — users can rely on precise calorie and nutrient tracking with ease, according to the company.
“This innovation addresses one of the biggest challenges in nutrition tracking: the time and effort required to log meals,” says Sergey Oreshko, CEO of MyNetDiary.
“AI Meal Scan allows users to log meals in seconds with unmatched accuracy by combining the latest AI advancements with our verified food database. We’ve redefined convenience and reliability for our users with remarkable precision, helping them stay consistent and achieve their goals faster and more effectively.”
Pocket dieticians
Innova Market Insights data indicates that personalized nutrition solutions are becoming more popular as consumers are increasingly concerned about their unique health needs.
MyNet Diary currently has over 25 million registered users and 1.5 million monthly active users.
AI Meal Scan builds on a banner year for MyNetDiary, which has been developing its tailored AI recommendation to create an experience “similar to having a dietitian in your pocket.”
The app has added several user-focused features, including Advanced Autopilot, which adapts to a user’s metabolism and dynamically adjusts calorie and macro targets, intermittent fasting support, DASH diet and personalized daily advice.
Improving and democratizing nutrition tracking
In other recent advances for nutrition tracking, Allurion Technologies launched an AI-based weight loss and monitoring program, AllurionMeds, in the US last month. The program works in tandem with its GLP-1 drug prescription services. It addresses the most common GLP-1 treatment concerns, including weight regain, while offering virtual access to dieticians through a companion app.
Despite significant progress, nutrition-tracking smartphone applications based on AI still require improvements in accuracy, according to a study conducted at the University of Sydney, Australia. Some persistent concerns include AI’s poor ability to recognize dishes or estimate the caloric values of meals. However, these could be addressed through training.
At the same time, researchers from the American Society of Nutrition are concerned that these solutions focus on socially privileged groups instead of the overall population. They call to create adaptive, personalized nutrition advice systems customized to individual needs and highlight the potential for digital tools.
