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App Development

CalFit AI
Nutrition Tracker App

EXPELEE TEAM
28 June, 2025
7 mins

We at Expelee developed CalFit AI, a smart nutrition tracking app powered by React Native, Google Gemini API, and USDA's FoodData Central. Designed to help users make informed dietary choices, the app delivers real-time insights on calorie and nutrient intake through intelligent food scanning and personalized dashboards.

CalFit AI simplifies the health journey by combining advanced AI with user-centric mobile design. From scanning a plate to tracking daily nutrition goals, every feature is crafted for accuracy, speed, and simplicity—empowering users to live healthier with data they can trust.

Project Features & Modules

Food Scanning with AI: Powered by Google Gemini API, users can scan meals via camera to instantly identify and analyze food items.

Nutrition Breakdown: Integrated with the USDA FoodData Central API, the app fetches precise macro and micronutrient details for each scanned item.

Daily Calorie Tracker: A dynamic dashboard displays total intake against personal goals, segmented by meals and time of day.

Personalized Onboarding: Users set their health objectives—weight loss, muscle gain, or maintenance—and receive tailored nutritional goals.

React Native Cross-Platform Build: The app ensures smooth performance across both iOS and Android devices with one shared codebase.

User Experience & Communication

The user journey is crafted to be welcoming and motivational—from a visually appealing onboarding sequence to intuitive food log entries. Micro-interactions, smooth transitions, and engaging visuals foster daily habit formation. Clear prompts, insightful analytics, and feedback loops ensure a continuous sense of progress and encouragement.

Healthier lives are built one meal at a time—with the right data, at the right time.

Expelee Dev Team

At Expelee, we blend powerful tech stacks with empathetic design thinking. CalFit AI is a reflection of this ethos—crafted to serve people’s real health journeys. From data parsing to user flow, every decision was aimed at building trust, delight, and lasting engagement.