Nutri AI is a medical web app powered by deep learning with custom model Nutri-Net. It helps doctors, dieticians, and patients calculate daily nutritional requirements, provides personalized nutrition recommendations. All user medical data is encrypted for privacy and security.
Calculating daily nutritional requirements for patients can be a tedious and time-consuming process for doctors and dieticians. They have to collect and analyze a significant amount of data, including the patient's medical history, body measurements, and food intake history. This process can take several hours or even days, and is further complicated by the need to tailor nutritional recommendations to each individual patient's specific needs.
Nutri AI is web-based and has low latency, ensuring fast and responsive performance for users on any device with an internet connection. The app is optimized for speed and designed with a user-friendly interface, providing a seamless and reliable user experience.
The API accepts JSON format data inputs and returns daily nutrional values in JSON format. This makes it easy to integrate into various programming languages and frameworks. Additionally, being hosted on GCP Cloud Functions provides the benefits of high availability, low latency, and automatic scaling, making it an ideal solution for medical applications.
NutriNet is a deep learning model made with PyTorch that predicts daily values of calories, cholesterol, fat, protein, fluids, and sodium based on blood-serum levels. It is the mind behind the API
Nutri AI prioritizes the security and privacy of user data. The app includes secure login features that ensure only authorized users can access personal information. Additionally, all post and get requests are encrypted, meaning that sensitive information is protected from unauthorized access.