Guess My Food - Interview with the developer of a fantastic app

Did you have any prior development or coding experience?

I have been coding since I was 13 years old, and working professionally as a programmer for the last 25 years!

What was the most challenging aspect of developing mobile app?

I think for me, the most challenging aspect was keeping the application tight and focused. There is a tendency to add too many "extra" features which users don't really want.

_{Kibi Hofmann}

Kibi Hofmann has been programming professionally for 25 years and programming mobile since 2002. He is currently enjoying learning all about Machine Learning at iCarbonX

Name a few of your favorite apps and reason you love them.

I love Waze and Moovit, which help me with my commute whether driving or taking public transport. The applications are always up to date and show only the information I need

How long have you been working on this app?

I have only been working 6 weeks on this app, but the company has been collected the data which makes it possible for a few years by now.

What need of the user did you have in mind when developing this app?

This application is designed to be a fun way for users to discover more about the food they are about to eat. We hope soon, as our knowledge expands, to allow users to make wiser decisions about the food they are consuming while remaining a fun, and easy to use the product.

In what way do you think your app is better than similar apps on the market? Please describe in detail what innovation you think you bring and what you are proud of in your app.

Our app uses our advanced machine learning model (trained over many months with over a million samples) to enable us to quickly and accurately identify many types of food from a quick camera shot. We have not seen other apps with such advanced capabilities, and we're just getting started!

What are your future plans and expected features of the coming new versions of this app?

The current version of the app sends pictures back to our server for identification. We are working hard on a version which will contain at least some of these capabilities on the phone itself. This would enable faster identification, less internet usage, and the ability to help users help themselves by taking better food pictures which our main servers can classify more accurately.

Assuming new users of your app are reading this page. What do you want to ask them to do (contact you about X, Share the app, etc.)?

Please download and enjoy using the app. If you find it fun to use, please tell your friends to download and use it too! If there are problems (and version 1 always has problems!) please send me an email (my mail is mentioned on the app listing) and I will be happy to try to fix it in a future version.