Welcome to this Food and nutrition planning optimization tool!
The goal is to create a tool to provide individuals with a recommended diet based on their personal health needs.
The model currently used is the the DOcplex linear optimization solver, and it has been built on IBM Watson Studio.
- This project is run in IBM Watson Studio - using decision optimization
- Food Files Data are currently being gathered from New Zealand Food composition Data Composing of 2767 food items.
- The daily dietary requirements are currently being gathered from Nutrient Reference Values for Australia and New Zealand
- (Currently being worked on) Add more food data, using an API connection the USDA FoodData Central https://fdc.nal.usda.gov/api-key-signup.html
- A better error message if the solution is not feasible i.e. the food options will not meet the desired nutritional requirements.
- Add a web scraper for the costs of each food item or a REST api connection.
- Add an option to input your gender / age and activity level to ensure the nutritional requirements are set to the individual.