Qooti

Overview

Qooti is an AI nutrition app we designed and engineered end-to-end for users across the Arab world. It lets people track calories and nutrition with minimal effort, by photographing a meal or scanning a barcode, through a natively Arabic interface from the very first screen. We wanted to make nutrition tracking an easy habit instead of a daily chore.

Key features

• Snap your meal: Photograph your food and AI recognizes the components and estimates calories and nutrients instantly.

• Barcode scan: Scan a product label to surface full nutrition facts in seconds.

• Daily calorie ring: Track calories and macros (carbs, protein, fat) against your daily goal.

• Weight & progress: Charts that show how your weight and measurements evolve over time.

• Arabic food database: A nutrition database built around local cuisine and products on the shelf.

• Arabic-first · RTL: A fully right-to-left experience, designed in Arabic, not translated.

Technologies used

• Swift: A native iOS app written in Swift for high performance and a smooth feel.

• AI Vision models: Recognize food and estimate calories from a photo.

• Barcode scanning: Instantly read product labels and match the nutrition database.

• Node.js: Server logic, user-data processing and sync.

• PostgreSQL: Secure storage of meal, weight and goal history.

Challenges & learnings

The biggest challenge was accurate calorie estimation from real meal photos, especially for diverse local cuisine. We built an Arabic food database and tuned the vision models for practical, fast results, while keeping the experience light and smooth from the first screen.

Outcome

Nutrition tracking became an easy daily habit instead of a burden. Users snap a meal or scan a barcode to get a clear picture of their intake and progress toward their goal, in a natively Arabic experience.