Open almost any fitness or nutrition app and the first question is the same: what did you eat today. Log your breakfast, log your lunch, log your dinner. The whole product is built on one assumption: a single person logging a single plate.
That assumption quietly leaves out the person who, in many Indian households, does the actual nutritional work for the family. She decides what gets cooked, buys and preps the ingredients, and adjusts for who is dieting, who is unwell, who has an exam and needs more protein, and who simply will not eat what. Very often she is the mother or the wife, sometimes both, across two generations under one roof. She is running a live, adaptive nutrition plan for four, six or eight people, in her head, every day. The apps are built to log a plate. She is managing the kitchen.
What the time-use data shows
This is not just an anecdote. India's Time Use Survey 2024, run by the National Statistics Office (MoSPI), found that 81.5% of women aged six and above took part in unpaid domestic services for household members on a given day, against 27.1% of men. Women who did that work spent an average of 289 minutes a day on it; men who did it spent 88. Among women aged 15 to 59 who took part, the figure was about 305 minutes a day in 2024, down from about 315 in 2019. The survey's own summary says that most caregiving responsibilities for household members are borne by the women of the household.
The survey category covers more than cooking, but food is a large part of it, and cooking three meals a day for a family is not a task you finish and forget. It is an ongoing planning problem: what is in season, what is left in the fridge, what the diabetic uncle cannot have, what the toddler will actually eat, what is affordable this week compared with last week. That is nutrition management. It just does not look like the version of nutrition management that gets built into an app, because the app was designed around one person logging their own intake, not around the household's unseen operations manager running everyone else's.
The second problem: home food is hard to count
Underneath the gendered problem sits a data problem. Many popular tracking apps lean on barcode scanning and packaged, single-serving food: scan the label, get the macros. Indian home cooking is close to the opposite. A katori of dal, two rotis, a spoon of sabzi made with however much oil went into the kadhai that day: none of it comes with a barcode, and the portions change from house to house (we wrote about this in why "2 rotis" is not one number).
India's official reference, the ICMR-National Institute of Nutrition's Indian Food Composition Tables 2017, covers 528 foods, and a 2024 paper in Current Developments in Nutrition notes that these are raw items such as uncooked rice, wheat flour and tomatoes, with no data for composite dishes like chapatis or curries. The same researchers built an Indian Nutrient Databank with around a thousand recipes to help fill that gap, which shows how much work it takes: that databank was only published in 2024. So the person managing a household's food is effectively doing two jobs the industry has no name for: the invisible planning, and then hitting a wall of missing data if she ever tries to write any of it down.
Built for the person with the least of this work
In my experience, tools marketed around "family health" and "wellness" are mostly designed for an individual logging for themselves, often someone with a gym routine and some spare time. The person actually running the household's food gets a tool that will dutifully count her own calories, as if that were the interesting number, when the harder and more consequential numbers are the many small decisions she makes every day about everyone else's plate.
What would it look like to build for her instead? Not a to-do list bolted onto a calorie counter, but a system that starts from the premise that nutrition in an Indian household is usually a shared, multi-person, home-cooked problem before it is an individual, packaged-food one. That begins with food data that treats dal, sabzi and roti as ordinary, trackable foods rather than edge cases, and with ways of estimating portions that do not need a kitchen scale, such as the hand-portion method.
Where NYUS stands, honestly
I build NYUS, an AI fitness and nutrition coach whose food database covers 8,900+ foods with macros, and which lets you log a meal by photo, barcode or search, in English, Hindi or Hinglish. We built the food layer that way because the "scan your barcode" model does not fit how most Indian households eat. (If you want a feel for typical home-food numbers, our guide to calories in common Indian foods is a starting point.)
But NYUS is still built around a single logged user, like the other apps in this category. It has not solved the household-manager problem this piece describes, and I would rather say that plainly than pretend otherwise. Building food data for home-cooked Indian meals was the first, unavoidable step. It also made the next, harder gap impossible to ignore: even with the food data in place, the apps I know of, NYUS included so far, do not have a real answer for the person managing nutrition for a household rather than for herself.
That is the gap worth naming before anyone builds the next "family wellness" feature and points it, once again, at the person with the fewest spare hours in the day to use it.
This piece discusses nutrition tracking and household labour patterns. It is not medical or dietary advice; anyone with a specific health or nutrition concern should consult a doctor or a qualified dietitian.