AI Calorie Counter
React Native template.
Snap a photo of any meal → instant nutrition breakdown. Full tracking dashboard, barcode scanning, and dietary goals.
Production screens.
Light and dark.
Each flow vetted by senior designers. Each interaction motion-tuned with Reanimated. No AI-looking gradients.
Three production layers.
One repository.
React Native + Expo
- →Screens designed light & dark
- →NativeWind + Reanimated motion
- →Expo Router file-based nav
- →Push notifications wired
- →EAS build ready
Vibecode DB
- →Supabase default · Drizzle/Neon adapters
- →Auth + storage + realtime + edge
- →RLS on every table
- →Schema + migrations + seed
- →Typed contracts at every boundary
BYOK AI + provider plug-ins
- →Provider-agnostic AI layer
- →Streaming + tool use + retries
- →Stripe SDK ready (where relevant)
- →Token accounting helpers
- →No keys in client bundle
Hand the repo to
your agent.
Ship features in hours.
The architecture is mapped in CLAUDE.md, AGENTS.md, and .cursorrules so any agent — Claude Code, Codex, OpenCode, Cursor — knows where things live.
- ✓Slash commands shipped: /add-screen, /swap-backend, /audit-security
- ✓Payment + map + auth + AI providers behind abstractions
- ✓Domain logic documented as state machines and diagrams
- ✓Every API call has a typed contract and a test
AI Calorie Counter,
fully wired.
AI Meal Scanner
Photograph any meal and receive an instant, structured nutrition breakdown. Requires an AI vision model setup (e.g., GPT-4o Vision).
Barcode Scanner
Scan packaged food barcodes for instant nutrition lookup via Open Food Facts with adjustable serving sizes.
Analytics Dashboard
Track daily and weekly calorie trends, macro distribution, goal completion, and maintain your streak.
Smart Goal Setting
AI-suggested calorie and macro targets based on your health goals — lose weight, build muscle, or maintain.
Manual Entry
Add meals manually with a flexible ingredient builder for complete control over your food log.
BMI & Profile
Live BMI calculation with color-coded scale, personalized profile, and configurable diet preferences.
The audit we ship
with every release.
We don’t say “secure” and hope. Every release goes through a written checklist, and we ship the checklist with the code. Here’s what gets verified before a build leaves our hands.
- No API keys in client bundlescanned
- RLS policy on every tableall tables
- Provider secrets in edge functions only
- Webhook signatures verified
- Rate limiting on auth + critical endpoints
- PII fields encrypted at rest
- File uploads in private buckets
- Chat moderation on incoming messages
- OWASP mobile top-10 reviewed
- Dependencies pinned + npm audit clean
~310 engineering
hours, already paid for.
A senior React Native engineer at $120/hr writing this from scratch — and getting security right — costs ~$37,000. AI Calorie Counter is $79.
From repo to App Store in four steps.
- 01
Download & Install
Clone the repository and run npm install to get all dependencies set up in minutes.
- 02
Customize Branding
Update colors, fonts, and assets in the theme config to match your brand identity.
- 03
Connect Backend
Add your Supabase credentials and the required AI model setup in the .env file to power authentication and AI scanning.
- 04
Deploy to Stores
Use EAS Build to create production builds and submit to App Store and Google Play.
Had a working MVP in front of beta users within a week. The entire backend was already wired up, so I just focused on customizing the UI and plugging in my API keys. Weeks of work, done.
One purchase. Yours forever.
Pick the license that matches how you ship.
Questions about the AI Calorie Counter template
What is included in the CalorieAI template?
What AI model does the meal scanner use?
Is the template compatible with Expo Go?
Can I customize the colors and branding?
Do you provide support and updates?
Can I use this for multiple projects?
Ship your ai calorie counter app
in days.
Production screens. Real backend. Security-audited. Your agent will thank you.