Personalized nutrition is an emerging and rapidly expanding segment of the health and wellbeing industry. An increasing number of apps and devices are being produced to address potential market demand.
However, there is a great difference between people's physical constitution, and there may be great differences in allergens, eating habits and living habits. If general conclusions are used, they may not be well adapted to current users. After evaluating some other products, we found that the apps currently on the market for the most part are not good for users with personalized settings. They can't give users advice according to their current health status. They just give some general advice based on the results of the statistics and tend to avoid giving too in-depth advice in order to prevent other problems caused by individual differences among users.
Inner Intel (working title) is a personalized nutrition app that distinguishes itself from others on the market in three ways: The app will make personalized suggestions based on each person's different situation; It uses a machine-learning AI to analyze supplied personal data; Users can have one-to-one communication with dietitians, and our app will make personalized adaptations according to the communication results.