Case Study

ViteBite

AI Nutrition Platform

Snap your meal, get instant AI-powered nutrition insights and personalized diet guidance — built for fitness apps, dieticians and health-conscious consumers.

IndustryHealthTech / Nutrition ServicesAI Development, Mobile & Web Platform Duration4 Months
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The Challenge

  • Manually logging meals was slow and inconsistent for users
  • Users struggled to understand the nutrition value of everyday food
  • No easy way to manage diet plans and subscriptions in one place
  • Fragmented tools for tracking, insights and payments

Our Solution

We built an AI-powered nutrition platform that recognizes food from photos, delivers instant dietary insights and manages subscriptions in one seamless experience.

  • AI Food RecognitionSnap a photo and get instant meal identification
  • Nutrition InsightsPersonalized macro and calorie breakdowns
  • Diet GuidanceTailored recommendations based on user goals
  • Subscription ManagementUnified plans and billing via RevenueCat

Technology Stack

Django Supabase RevenueCat Claude 3.5 Nutrition APIs Docker

Key Features

AI Food RecognitionInstant meal identification from a single photo
Nutrition DashboardClear breakdown of calories and macros
Personalized Diet GuidanceRecommendations tailored to user goals
Subscription & BillingSeamless plan management with RevenueCat

Results & Impact

90%+Food recognition accuracy with instant insights
~70%Reduction in manual calorie tracking effort
HighDaily active user engagement
ReliableScalable AI recognition pipeline

ViteBite makes healthy eating effortless. The AI recognition is impressively accurate and IntelliaTech built an experience our users genuinely enjoy using every day.

Product Lead ViteBite

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