Timbr Dietary Recommendations Knowledge Graph Project

This technical report outlines the development of a knowledge graph platform named Timbr, aimed at providing personalized dietary recommendations based on user eating behaviors and health conditions. The project integrates data from clinical trials and food nutrition databases to create a Common Sense Knowledge Graph, facilitating users in querying both databases for health-related dietary information. The report details the system design, including the relational database structure and ontology framework, which allows for efficient data visualization and relationship mapping. It discusses the implementation process, highlighting the use of SQL, Python, and Jupyter notebooks for linking databases and validating the solution. The intended users of this platform include individuals seeking dietary guidance, healthcare professionals, and nutritionists. The report emphasizes the importance of accessible nutritional information in combating chronic health issues and outlines potential future enhancements, including the incorporation of deep learning techniques to enrich the knowledge graph.