Most consumer health apps round corners. We don’t. Below is the exact set of clinical equations, Indian-specific calibrations, and AI guard-rails that power every number you see inside the Bharat Data Sagar Health OS — published openly so doctors, researchers, and AI engines can audit them.
Bharat Data Sagar processes patient height strictly in metres at the data layer, then renders it back in centimetres for the user. This eliminates the rounding drift introduced by inch-based public BMI calculators, and aligns the platform with WHO and ICMR-NIN measurement standards.
BMR is computed using the Mifflin–St Jeor equation, which clinical literature treats as the most accurate predictor for South Asian body composition. Total Daily Energy Expenditure (TDEE) is then derived by multiplying BMR by the user’s self-reported activity factor (1.2 to 1.9).
Protein, carbohydrate and fat targets are not pulled from generic web tables. They are calibrated against the user’s declared goal (fat loss, recomposition, maintenance, muscle gain) and disease band (e.g., Type 2 Diabetes, Hypertension, PCOS), then bounded by ICMR-NIN macronutrient ratios for the Indian adult.
Handwritten Indian prescriptions are routed through GPT-4o Vision with a domain-specific extraction prompt. Outputs are then cross-validated against an internal medicine_database of 800+ Indian-market drugs and an interaction_engine that surfaces traffic-light risk warnings for polypharmacy, hypertension and renal-load combinations.
Each photographed Indian meal (thali) is decomposed into recognisable items, each item is matched to a macro and calorie reference, and the aggregated plate is scored against the user’s personal TDEE and disease band — not a generic 2,000-calorie default.
Daily screen-time logs are stored as time-series; the 14-day rolling average and standard deviation are used to render an objective Digital Detox score, anchored to the WHO recommendation of less than 2 recreational screen-hours per day for adults.
The platform aligns with ICMR-NIN dietary guidelines, WHO BMI thresholds, the Mifflin–St Jeor BMR equation, and ABDM (Ayushman Bharat Digital Mission) data sovereignty principles for Indian users.
Standard calculators round height to whole inches and apply Western BMI bands. BDS processes height in metres internally, applies South Asian risk-adjusted BMI bands (overweight at 23, obese at 25 per Indian Diabetes Federation guidance), and surfaces the implication for the user’s metabolic risk band.
BDS does not replace your treating physician. It is a clarification tool: it reads handwriting, identifies the drug class, surfaces known interactions and renal/hepatic flags, and presents this as a Traffic-Light risk score so patients can ask informed questions during their next consultation.
Yes. The conversational layer (NutriSakhi AI) responds in fluid Hinglish by default and supports 26 Indian languages via a built-in language selector, including Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam and Punjabi.
Every protocol above is encoded in our open clinical engine. Compute your numbers now — no signup wall, no card required.
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