Your Personalized Path to
Our innovative R&D system offers tailored recommendations for managing Type 2 Diabetes.
Understanding The Challenge
According to the International Diabetes Federation (IDF), over 537 million people worldwide were living with diabetes as of 2021. Type 2 Diabetes (T2D) accounts for 90–95% of all cases globally, as reported by the World Health Organization (WHO). The burden is especially rising in low- and middle-income regions. Africa alone had an estimated 24 million cases in 2021, a number which is projected to increase by 129% to 55 million by 2045.
Despite these numbers, most dietary advice remains generic, often limited to “eat healthy” or “avoid sugar”, with little consideration for current blood sugar levels. This gap between blood sugar monitoring and nutritional decision-making creates a significant obstacle for self-managing Type 2 Diabetes effectively.
Our Development Methodology
Our development follows a structured data-driven approach focused on user impact. We begin with comprehensive data acquisition from Kaggle and Google. Our dataset provides detailed nutritional profiles for a wide range of foods, including their nutritional content, macronutrients, and micronutrients. This ensures that our recommendations are both context-specific and nutritionally reliable.
Once acquired, the data undergoes rigorous preprocessing and understanding. We implement robust techniques to load and structure the datasets correctly. Through exploratory data analysis (EDA), we assess distributions, identify missing values and outliers, and investigate the relationships between nutrients. This step is very crucial for validating data quality and shaping our understanding of the patterns that influence dietary planning. The cleaned data is then transformed to standardize units and handle any inconsistencies, preparing it for modeling and tailored analysis for diabetic nutrition.