kina.nutrition is an app that helps people who change their eating routines to find or create small, supportive groups to achieve the goal
I started a spontaneous project with the idea of creating a digital assistant that can help users to manage food-related daily routines more effectively. During the research discovered many very different user groups globally—each with specific goals and diverse contexts. And these findings led me to the key question: what can be designed for first version, primarily developed with the help of AI, that can potentially become a support for each of these groups?
1 billion
people globally live with obesity
50%
of adults lack basic nutrition literacy
15–20%
of people show addictive-like eating behavior
~75%
of adults don’t eat enough vegetables
research phase
Health & Wellness oriented
Lifestyle & Habit
Trend & Innovation-Driven
Life Stage & Demographic-Driven
Socio-Economic & Behavioral
user groups
For example:
People who pursue health goals with support are far more likely to succeed. In a weight-loss study, only 24% of participants who joined alone kept the weight off, compared with 66% of those who joined with friends and received social support.¹
Many people lack that support to begin with. About 1 in 6 people worldwide feel lonely, and rates are highest among young people and in lower-income countries.
Sources:
¹ Wing, R. R., & Jeffery, R. W. (1999). Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. Journal of Consulting and Clinical Psychology, 67(1), 132–138.
² World Health Organization (2025). From loneliness to social connection: charting a path to healthier societies. Report of the WHO Commission on Social Connection.



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