• Within a team of 5, created from scratch a social network ("Facecook") for cooking recipes where users can record their meals and then recipes are recommended to the users, based on their own food preferences, in order to help them to keep their nutrients (proteins, fats, vitamins...) on track.
• Worked specifically on identifying the nutrients deficiency or excess, based on a list of foods, for a given day. Then next step is to implement a recommender system to propose the most suitable recipe.
Source : https://pro.anses.fr/tableciqual/ (French food composition table, Table Ciqual, version 2013)
• Final presentation to the jury: http://prezi.com/vx4iebrgi1_l/?utm_campaign=share&utm_medium=copy
