Nutrition tracking app that combines AI-powered food recognition, barcode scanning, and chat-based interaction to simplify daily meal logging. It offers personalized goal setting, real-time nutritional analysis, and motivational insights through a visually engaging dashboard. Users can easily log meals with photo capture or manual entry, track hydration, and review progress toward their health targets. With secure data management and tailored recommendations, Nutritrack helps users make informed, healthier choices effortlessly every day.
We utilized strong and secure technologies, tools, and frameworks in the app to speed up the development of new features and functionalities.
Flutter
Open AI
Node js
Figma
React Js
JavaScript
Manual entry of meals can be time-consuming and prone to errors, making it difficult for users to maintain consistent tracking. Many platforms lack accurate food recognition, which leads to incorrect nutritional data and unreliable insights. Additionally, most apps fail to offer personalized recommendations based on individual goals, leaving users without the motivation or guidance needed to make meaningful dietary changes. These limitations often result in frustration and abandoned tracking efforts.
Nutritrack solves these problems by using AI to recognize food from photos and scan barcodes, making meal logging fast and easy without typing. The app gives personalized nutrition tips and encouraging feedback based on each user’s health goals. It also has a chat-based AI Assistant that provides quick, helpful advice anytime. With a simple, clear dashboard and secure data storage, Nutritrack helps users track their food accurately and make healthier choices every day.
Quick barcode and food photo scanning for easy meal logging.
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The client wants Nutritrack to provide an easy, accurate, and personalized food tracking solution that helps users stay motivated, make better nutrition choices, and achieve their health goals through smart AI-powered features and real-time insights.
Since its launch, NutriTrack has exceeded expectations, making calorie tracking more accessible and efficient. The app has successfully reduced friction in daily health tracking by offering users a simple, AI-powered solution that yields accurate data in seconds. These features have led to strong user retention and engagement, with a high level of satisfaction reported by its users. The AI-powered meal scanning and real-time analytics have become essential for helping users make healthier decisions effortlessly.
It was hard to make AI accurately identify many types of food from photos, so we used OpenAI technology and trained it with lots of examples.
To make logging meals fast and simple, we added different ways to enter food like scanning barcodes, taking photos, or typing manually.
Protecting user health data was important, so we used strong security and privacy rules to keep information safe.
Giving quick, personalized advice was tricky, but we improved our AI and algorithms to deliver instant helpful feedback.
Our UI/UX designing team developed hi-fi prototype after low-fi approval, through attractive user interfaces and aesthetically appealing layouts.