1. Inclusiveness in Food Data Sets: Development of a Food Composition Dataset for South Asian Recipes With Focus on Pakistan.
- Author
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Maqdoom, Muhammad Hammad, Najam, Syeda Areesha, Ali, Shalin, Fatima, Sana, Momin, Alisha, Samad, Abdul, and Jamshed, Humaira
- Subjects
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DIVERSITY & inclusion policies , *DATA warehousing , *NUTRITIONAL value , *DATABASE design , *MACHINE learning , *NUTRITION education , *FOOD portions , *QUESTIONNAIRES , *INFORMATION resources , *ALGORITHMS , *SECONDARY analysis , *NUTRITION policy - Abstract
Accurate food composition data is crucial for promoting healthy eating, dietary planning, research and development, food labeling, and public health policy. However, no comprehensive database currently compiles all available food composition data for South Asian recipes, especially Pakistani recipes, highlighting the need for ongoing research. The study aims to compile the underrepresented South Asian recipes primarily focusing on Pakistani cuisine by generating a comprehensive dataset on the nutritional profile of popular Pakistani recipes to support public health initiatives, informed food-related policies, and promote inclusiveness. A secondary study was conducted to collect South Asian recipes from public sources like RecipeDB, focusing on Pakistani recipe sources from HUM Masala TV and a survey. The study included preliminary results of a survey. The collected data was cleaned, and the serving sizes were predicted using Machine Learning algorithms. The ingredients in each recipe were mapped to their corresponding nutritional content in the USDA database. The resulting food composition data was compiled into a comprehensive dataset. We have successfully compiled a preliminary dataset of around 5000 recipes, their ingredients, and corresponding nutrition profiles. Although we included recipes from three regions: Pakistan, India, and Bangladesh, most of the focus has been on Pakistan. We plan to continue building the dataset and include more recipes from South Asia, the Middle East, and beyond. We have started building a comprehensive dataset of South Asian recipes, primarily Pakistani cuisine, providing accurate nutritional information. As the demand for personalized nutrition and health advice grows, artificial intelligence-powered systems can use this dataset to provide more accurate and individualized recommendations. Furthermore, this dataset can be used to develop applications that can automate the process of tracking diet for South Asians catering to sustainability and adaptability. None [ABSTRACT FROM AUTHOR]
- Published
- 2023
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