DeepNutritionOptimization – Efficient and personalised meal recommendations


The goal of this project is to explore the application of machine learning based approaches such as reinforcement learning, to a combinatorial optimization problem in the field of nutritional recommendations.

The newly developed approach will be compared to the one previously developed at Fraunhofer.


- A newly developed meal recommender algorithm;
- A comparison between approaches considering efficiency.

Author: Ana Amaro

Type: MSc thesis

Partner: FEUP – Faculdade de Engenharia da Universidade do Porto

Year: 2021