Maazan (Hebrew for "balance") is a Hebrew-first, fully RTL nutrition tracking app: a daily food diary with calorie and protein targets, quick logging by meal photo, barcode scan, or text search, and a self-correcting target engine that adapts to your real data.
How it works
- Five logging paths, one confirmation screen: text search, barcode scanning, AI photo recognition, saved meals, or one tap on anything in My Foods, all converging on a fast, forgiving confirmation screen where quantities and values can be corrected before saving.
- A personal catalog that learns: lookups check your own verified catalog first, then Open Food Facts and USDA FoodData Central. Every manual correction is remembered, so accuracy improves with use.
- The Israeli-products fallback: when a barcode is found nowhere, you photograph the nutrition label and the app extracts per-100g values, filling the gap that international databases leave for Israeli products.
- Adaptive targets: the initial target uses the Mifflin-St Jeor formula; a weekly job then compares predicted vs. actual smoothed weight change, backs out your true energy expenditure, and adjusts the daily target with a short Hebrew explanation and safety guard rails.
What you get
A Today screen showing consumed, target, and remaining calories and protein; a Progress screen with smoothed weight and waist trends, BMI and waist-to-height ratio shown as trends rather than verdicts, and a timeline explaining every target change; saved meals always computed from their ingredients; and Hebrew food suggestions that close your protein gap using foods you actually eat. A My Foods screen holds every food ever logged, filtered by name and sorted either by how often it is eaten or by how recently, with favourites living inside it rather than in a separate list, and one tap logs a food again at the quantity used last time. Intermittent fasting is derived from the diary itself: a fast starts after the last logged food and ends at the next one, so there is no timer to start and nothing to remember to stop. Windows of 12:12, 14:10, 16:8 and 18:6, off by default, with the health caveats shown at the moment it is switched on.
Privacy
No account, no email, no login: identity is anonymous per install. Food photos are used only to extract nutrition values and are deleted immediately after analysis. Full data export and deletion are built in. Privacy policy.
Behind the scenes
React Native with Expo and TypeScript; Cloudflare Workers for all server logic including scheduled jobs; Cloudflare D1 as the database and R2 for temporary image storage; Anthropic's Claude API for photo recognition, label OCR, and daily suggestions.