The Foodvisor app was created to help users keep track of their diet by taking photos of each meal. The app is then able to leverage deep learning technologies to recognize what is on the user's plate. Foodvisor is able to determine the distance from the camera to the plate, it then is able to determine the volume of each item. Following this, the app will inform the user of the nutritional information from the meal they are about to eat. Users will also have the ability to manually correct any information the system gets wrong.
Currently, the Foodvisor app has over 1.8 million downloads, and it is available for both iOS and Android devices. The platform also has premium subscription options, where the user will be able to speak to a registered nutritionist in the app.
Nutrition Tracking Photo Apps
The Foodvisor App Uses Deep Learning to Track the User's Diet
Trend Themes
1. Deep Learning Nutrition Tracking - Opportunities for brands developing deep learning technologies for more precise nutrition tracking.
2. Photo-based Meal Tracking - Opportunities for entrepreneurs developing apps that track meals by taking photos.
3. Personalized Nutrition Coaching - Opportunities for brands offering personalized nutrition coaching through premium subscription options.
Industry Implications
1. Healthcare - Deep learning nutrition tracking and photo-based meal tracking could be used by healthcare providers to offer personalized nutrition plans.
2. Fitness - Photo-based meal tracking could be used by fitness and wellness brands to develop more personalized meal plans.
3. Technology - Developers can create apps for photo-based meal tracking and offer personalized nutrition coaching through premium subscription options.