An Android app to scan and identify food and provide nutritional recommendation based on detected food class
Built with Xamarin.Forms and Azure Cognitive Services
The motivation behind this project is based on this problem statment ⬇️
Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.
According to WHO
Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients
- An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
- 1.9 billion adults are overweight or obese, while 462 million are underweight.
- 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.
- Made with Locally Sourced Nigerian Food Dataset (Eba, Rice, Fish, Chicken, Bread)
- Get Nutritional Facts Using Nigerian Food Database
- Used Nigerian Food Database from University of Ibadan
- User Get Diet Recommendation Based on Food class detected
- This is just the First Iteration
- Adding More Food classes
- Diet Advice from professional utritionist
- Improve UI
- Recommendation can be based on Food Quantity
- Diet recommendation can be based on the type of malnutrition