The FoodRay AI project
I started building FoodRay AI for myself. I wanted to make sense of the nutrition information on the products I bought more quickly.
How it started
I tried a few apps, but getting started meant creating an account and entering personal information. That was more work than I expected just to look something up. So I built a first version for my own use.
As I used it, I noticed that the information available for the same product could differ. I kept refining FoodRay AI to make it clearer where nutrition values come from and when they are estimates.
Who developed FoodRay AI
I’m Carmine D’Alessandro, Cloud Architect, with over twenty years of experience in IT. I worked at Oracle Italia from 2012 to 2025, first as a technical consultant and then as a SaaS Technical Architect, working on cloud infrastructure, integrations and access management. FoodRay AI brings that experience together with my passion for nutrition and fitness.
Why I believe in FoodRay AI
FoodRay AI grew out of a passion and a need I experienced myself. It’s easy to eat in a rush and grab whatever is at hand. On busy days, we can pay less attention to the quality of our food and the ingredients in processed and ultra-processed products, and lose habits that helped us feel better.
I believe in FoodRay AI because it can make it easier to pause, understand what’s on our plates and get back to healthier eating habits.
Who I built it for
I showed the first version to friends and family. They encouraged me to build it for people with different needs, from those living with allergies or intolerances to people who want to pay more attention to their diet or who play sports.
I wanted the app to be useful beyond Italy, in the languages and units people are familiar with. I spent months of my free time developing FoodRay AI for Android and iPhone to make nutrition information easier to look up and use in everyday decisions.