Dominos

We simplify complex nutritional data into direct actionable scores providing the users a powerful tool to make informed decisions about their food products

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Inspiration:

52.5% consumers do not read or are aware of the ingredients' list written on the packed food labels Many of us haven’t even heard or can pronounce words like emulsifiers let alone know what impact they have on our health Women’s nutritional needs are often ignored in mainstream solutions, inconsiderate of their infradian rhythms

What it does

We simplify complex nutritional data into direct actionable scores providing the users a powerful tool to make informed decisions about their food products User’s get comprehensive point of views regarding their health as we target multiple vital organs Scan the label -> Know how good/bad it is for your heart, skin, tum-tum and kidney (with specific insights) Approachable, color-coded and well thought out UI

How we built it

  • Started with design
  • Intensive research form research papers to collete and refine the data
  • Backend
  • Forntend on flutter
  • Version control using github.

Working:

  • Click or upload a photo from our app
  • OCR will Recognize the text from ingredients label
  • Parse the data into a standardised format
  • Searching and Mapping for Ingredients through fuzzy , alias matching
  • Display the data in a minimalistic way to the client
  • Normalization of scores (We curated a list of approx 500 ingredients in which each ingredient is distinct based on weights. These are decided by consulting research papers to study their effects on different organs.)

Challenges we ran into:

Python dependency issues, Too much research

Accomplishments that we're proud of

Flutter learning at once, get it done in a night, intensive research

What we learned

Flutter, Research paper analysys

Reference:

References for ingredient data

WHO | JECFA. (n.d.). Apps.who.int. https://apps.who.int/food-additives-contaminants-jecfa-database/ ‌ *click on report to find the corresponding pdfs

Tian, S., Xue, X., Wang, X., & Chen, Z. (2022). Preparation of starch-based functional food nano-microcapsule delivery system and its controlled release characteristics. Frontiers in Nutrition, 9, 982370. https://doi.org/10.3389/fnut.2022.982370 ‌

Safety Evaluation of Foods Derived by Modern Biotechnology: Concepts and Principles. Iatp.org. https://www.iatp.org/sites/default/files/Safety_Evaluation_of_Foods_Derived_by_Modern_B.htm (accessed 2024-11-23). ‌ Canada, H. Guidelines for the Safety Assessment of Novel Foods - Canada.ca. Canada.ca. https://www.canada.ca/en/health-canada/services/food-nutrition/legislation-guidelines/guidance-documents/guidelines-safety-assessment-novel-foods-2006.html. ‌

U.S. Department of Agriculture. FoodData Central. Usda.gov. https://fdc.nal.usda.gov/. ‌

Openfoodfacts.org. https://world.openfoodfacts.org/cgi/search.pl?search_terms=&search_simple=1&action=process (accessed 2024-11-23). ‌

FoSCoS - FSSAI. Fssai.gov.in. https://foscos.fssai.gov.in/standard-product (accessed 2024-11-23). ‌

Tianshi, T. List of Product(S)/Ingredient(S) Applications “Approved” under Food Safety and Standards (Approval for Non-Specified Food and Food Ingredients) Regulations; 2017. https://fssai.gov.in/upload/uploadfiles/files/Product_Approval_Lists.pdf.

Rogan, M. M., & Black, K. E. (2022). Dietary energy intake across the menstrual cycle: a narrative review. Nutrition Reviews, 81(7). https://doi.org/10.1093/nutrit/nuac094

‌Brown, N., Martin, D., Waldron, M., Bruinvels, G., Farrant, L., & Fairchild, R. (2023). Nutritional practices to manage menstrual cycle related symptoms: a systematic review. Nutrition Research Reviews, 1–24. https://doi.org/10.1017/S0954422423000227

‌Tucker, J. A. L., McCarthy, S. F., Bornath, D. P. D., Khoja, J. S., & Hazell, T. J. (2024). The Effect of the Menstrual Cycle on Energy Intake: A Systematic Review and Meta-analysis. Nutrition Reviews. https://doi.org/10.1093/nutrit/nuae093

‌Ayoola, A. B., Zandee, G. L., & Adams, Y. J. (2016). Women’s Knowledge of Ovulation, the Menstrual Cycle, and Its Associated Reproductive Changes. Birth, 43(3), 255–262. https://doi.org/10.1111/birt.12237

Najafi, N., Khalkhali, H., Moghaddam Tabrizi, F., & Zarrin, R. (2018). Major dietary patterns in relation to menstrual pain: a nested case control study. BMC Women’s Health, 18(1). https://doi.org/10.1186/s12905-018-0558-4

Goyal, R., & Deshmukh, N. (2018). Food Label reading: Read before You Eat. Journal of Education and Health Promotion, 7(1), 56. https://doi.org/10.4103/jehp.jehp_35_17 ‌

Github:

https://github.com/cyai/dominos-dotslash-repo

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