Personalized Plant-Based Protein Formulation-I
Description
The framework is designed to work with a multi-modal dataset that captures per-user or per-sample biological, clinical, behavioral, and nutritional information. Each sample (e.g., one individual or one formulation scenario) consists of up to four raw data streams plus a derived structural input. The dataset can be real (from the provided dataset/ folder or external cohorts) or synthetic (for development and benchmarking); the model architecture and training pipeline support both. Row counts per file in the dataset/ folder (data rows only; header excluded): File Rows All_Diets.csv 7,806 dash.csv 1,745 demographic.csv 10,175 diet.csv 9,813 diet_recommendations_dataset.csv 1,000 examination.csv 9,813 keto.csv 1,512 labs.csv 9,813 mediterranean.csv 1,753 paleo.csv 1,274 vegan.csv 1,522 daily_food_nutrition_dataset.csv 651 FOOD-DATA-GROUP1.csv 551 FOOD-DATA-GROUP2.csv 319 FOOD-DATA-GROUP3.csv 571 FOOD-DATA-GROUP4.csv 232 FOOD-DATA-GROUP5.csv 722 questionnaire.csv 10,175 medications.csv 20,194 METADATA/Combined_FOOD_METADATA.csv 25 METADATA/GROUP-1_analysis_summary.csv 5 METADATA/GROUP-2_analysis_summary.csv 5 METADATA/GROUP-3_analysis_summary.csv 5 METADATA/GROUP-4_analysis_summary.csv 5 METADATA/GROUP-5_analysis_summary.csv 5 Total (all files) 89,691