Credits & Acknowledgments

Nutribaba builds on publicly available data, open frameworks, and the work of researchers, institutions, and open-source communities. We gratefully acknowledge the following sources and inspirations.

Data & Reference Sources

Food Safety and Standards Authority of India (FSSAI)

Referenced for Indian food labelling regulations, nutrient thresholds, and regulatory context.

ICMR–National Institute of Nutrition (ICMR-NIN)

Referenced for Indian dietary guidelines and recommended daily allowance (RDA) values.

Open Food Facts

An open, collaborative database of food products used to bootstrap parts of our product catalogue. Data is reused under the Open Database License (ODbL). Nutribaba does not control or verify all third-party data.

NOVA Food Classification

A food classification framework describing levels of food processing, developed by researchers at the University of São Paulo. Used for informational categorisation only.

U.S. Food and Drug Administration (FDA)

Referenced for food labelling concepts, Daily Values, and ingredient context.

European Food Safety Authority (EFSA)

Referenced for scientific opinions on food additives and safety assessments.

UK National Health Service (NHS)

Referenced for public nutrition guidance and traffic-light labelling concepts.

World Health Organization (WHO)

Referenced for global dietary guidance on sugar, sodium, and fat intake, used for contextual comparison only.

None of the above organisations are affiliated with, endorse, or validate Nutribaba or its outputs.

Open-Source Technologies

Nutribaba is built using open-source tools and frameworks, including:

Next.jsReact framework
Tailwind CSSStyling framework
PrismaDatabase ORM
PostgreSQLDatabase
Lucide IconsIcon library
JetBrains MonoTypeface

We are grateful to the open-source community for making these tools available.

Inspiration

Nutribaba was inspired by global efforts to improve food label transparency and public understanding of packaged foods, including projects such as Yuka and Fooducate, as well as public health research on ultra-processed foods.

These references are conceptual inspirations only and do not imply equivalence, endorsement, or shared methodologies.

Thanks & Contributions

Thank you to everyone who has shared feedback, reported errors, or helped improve data quality.

If you would like to contribute or report corrections, please contact contribute@nutribaba.in.