Stop managing your nutrition like a spreadsheet. BodyViz translates natural phrases (e.g. "three boiled eggs and oatmeal") into instant biometric simulations showing muscle synthesis, Glycemic load, and hydration levels in under 200ms.
Traditional trackers treat food like an accounting spreadsheet. BodyViz leverages localized intelligence to prioritize body response and educational motivation.
Ditch sliders and checkboxes. Type exactly what you ate in plain English. The local parsing engine resolves ingredients and estimates profiles in milliseconds.
Your meal logs are cryptographic and private. The 40,000+ item database runs entirely on your device with Zero server syncs, zero trackers, and zero third-party brokers.
Rather than counting numbers, our algorithm weighs glycemic index values, protein completeness, and fiber density to construct a clear motivational BIS score.
// Local SQLite Vector Database
val foods = database.search(query)
// Biometric Scoring Process
val score = BodyImpactScore.calculate(
proteins = foods.sumOf { it.protein },
glycemicLoad = foods.glycemicIndexHeuristic()
)
// Jetpack Compose Canvas Render
ComposeBodyRenderer(score)
BodyViz contains a compressed, highly optimized local database mapping nutritional metrics. By utilizing offline natural phrase heuristics, searches resolve in under 200ms without draining network data or exposing private habits to external cloud servers.
Download the native Android app locally and transform the way you interface with nutrition and metabolic health.