Tianren Dong¹, Yu Sun² and Fangyan Zhang³, ¹Northwood High School, USA, ²California State Polytechnic University, USA and ³ASML, USA

With more and more attentions paid on health, people begin to care about healthy diet options created by experts on nutrition. However, it will take a long time to observe the effects by taking healthy diet. This causes great difficulty for users to follow the healthy diet strictly. Most existing applications are not user-friendly in inputting information to the application. Then it becomes difficulty to track for exact health status. This paper proposes an android application which can be trained to recognize different kinds of food and facilitate the information input through phone camera using machine learning algorithms. Thus, nutritional information can be fed in application accurately.

Machine learning, Android application, Image recognition