Slow-cooked essays, field notes, and research summaries on what India actually eats — and how modern dieticians, clinics, and health platforms can plan around it with science and care.
New essays every week
Before UPI, every bank had its own payment rail and interoperability was a nightmare. Before AamoAI, every health app has its own (broken) food database. The analogy is exact.
IFCT 2017 is a static Excel file with 528 entries, inconsistent naming, and missing values. Here is the exact data engineering work that turns it into a production nutrition API.
A hands-on walkthrough of querying AamoAI's API - from authentication to getting back ICMR-aligned nutrition data for 'Dal Makhani, Punjab style, double tadka' in under 200ms.
When a user logs 'dal' in an Indian health app, which dal? At what calorie count? The regional ontology problem - and how AamoAI solves it without collapsing into chaos.
A founder's honest account of why every nutrition app in India is built on the wrong foundation - and what AamoAI is doing about it.
India has hundreds of diet apps and zero shared nutrition intelligence infrastructure. AamoAI is not building another app - it is building the layer that every app, hospital, and platform runs on.