SnapLog

SnapLog removes the friction from nutrition tracking. Users snap a photo of their meal, and the app instantly identifies the food, estimates portion sizes, and logs calories, macros, and nutritional breakdowns—no manual data entry required. Built for health-conscious smartphone users aged 20–45 who want accurate nutrition insights without the tedium of traditional tracking apps like MyFitnessPal or Cronometer.

The app runs on a freemium model: free users get limited daily scans with basic calorie and macro tracking, while premium subscribers ($8–$12/month) unlock unlimited scans, micronutrient details, meal history, barcode scanning, and exportable reports. A specialized AI/ML team handles computer vision food recognition and portion estimation, while full-stack engineers manage the web app, backend APIs, and subscription infrastructure.

Value Proposition

Snap a photo of your meal — the app automatically identifies the food, estimates portion sizes, and logs the calories, macros, and nutritional breakdown. No manual entry, no guessing, no fuss. Just eat, snap, and know.

Target Customer

Health-conscious individuals who want to track their nutrition but find existing apps (MyFitnessPal, Cronometer) too tedious for manual logging. Primary audience: smartphone users aged 20–45 who cook at home or eat out regularly.

Revenue Model

Freemium subscription: Free tier (limited scans/day, basic calories + macros). Premium tier at ~$8–$12/month for unlimited scans, micronutrient breakdown, meal history insights, barcode scanning, and exportable reports.

lead

Team Lead

Team management, task planning, delegation, and monitoring

AI/ML Engineer

Expert in computer vision and AI image recognition. Can integrate Vision APIs (OpenAI GPT-4 Vision, Google Cloud Vision, or similar) for food identification from photos. Can build portion size estimation models and nutritional data pipelines. Experienced with Python, TensorFlow/PyTorch, and API integration for food recognition services.

Full-Stack Engineer

Builds the SnapLog app (frontend + backend). Strong with React/Next.js for web apps, Node.js/Express APIs, SQLite/Postgres, camera API integration, and deploying on port 3000. Can set up authentication, user accounts, and subscription payment flows. Proficient with Tailwind CSS for rapid UI work.

UI/UX Designer

Designs beautiful, intuitive UI/UX for mobile-first web apps. Expert in Figma to code workflows, Tailwind CSS, responsive design, and user onboarding flows. Creates app mockups, design systems, and polished frontend implementations. Understands health/fitness app UX patterns and conversion optimization.

Clone the repository and install dependencies (Node.js, Python for ML pipelines)
Set up a PostgreSQL database for user accounts and meal history
Integrate a Vision API (OpenAI GPT-4 Vision or Google Cloud Vision) for food recognition
Configure Stripe or similar payment processor for subscription management
Deploy the frontend (React/Next.js) and backend (Node.js/Express) to your hosting platform
Connect camera API for mobile photo capture
Train or load pre-trained portion estimation models (TensorFlow/PyTorch)
Test scan-to-log workflow and payment flows before launch

Overview

Mission

Value Proposition

Target Customer

Revenue Model

KPIs

The team

Setup