Food Recommender System will be a mobile application for users who want to get suggestion about daily meals. This system will suggest food recommendation to the people according to their eating habits daily. System will determine individualized food recommendations via using Context-Aware Recommender System. It will be detected that meals that users consume frequently will be liked by user to the system. According to this information, the most appropriate recommendation will be specified. This system will also contain a database that store user and some food information. In addition, location information will be stored in database to suggest some near places that the user may be interested in. If user is not at home, system will suggest some restaurants to user. If user at home, some homemade foods will be suggested to user. User will choose the one of the recommended options and system will save this option to use for next recommendations.