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Bitesnap - Applying Deep Learning to Calorie Counting

Bitesnap is a recently launched mobile app that uses photo recognition to help you control your calorie intake. To learn more, we interviewed Keith Ito, one of the app's core developers to discuss Bitesnap's revolutionary vision for the food sector as well as the technological infrastructure behind it.

 We all know that a healthy diet is very difficult to maintain, especially nowadays where work is mostly done while sitting and entertainment is a matter of staring at screens of all shapes and sizes. The problem is made worse by the plethora of tasty but unhealthy food in existence.

Whereas dietary usually try to impose radical change, Bitesnap in contrast works with what you normally eat, trying to keep it or even turn it healthy, by closely monitoring food intake on a daily basis.Not sure how many calories the meal you are about to eat is? Take a picture of it and let Bitesnap reveal the calories and nutrients behind it, an action that allows you to make quick dietary decisions and keep a complete and comprehensive diary of the food you eat.

That's the concept. For Bitesnap to do its magic, it takes advantage of the latest technological developments in Computer Vision and Artificial Intelligence and its operation is based on a mobile application development stack.

full article on i-programmer.info

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