Calorie Tracker

A full-stack web application for logging meals, tracking daily calorie intake, and monitoring nutrition goals over time. Built with Next.js and TypeScript, with secure user authentication and a persistent database.

Live demo: calorie-tracker-ashy.vercel.app

Overview

Calorie Tracker lets users create an account, log the foods they eat throughout the day, and see their calorie totals against a personal goal. Each user's data is private to their account, persisted in a database, and available across sessions.

The project was built to practice end-to-end application development: designing a data model, wiring up authentication, building a typed frontend, and deploying to production.

Features

• User authentication — secure sign-up and login via NextAuth
• Daily food logging — add meals and entries with calorie values
• Calorie totals & goals — track intake against a personal daily target
• Per-user data — each account's entries are private and persisted
• Responsive UI — works across desktop and mobile

Tech Stack

Layer	Technology
Framework	Next.js (React)
Language	TypeScript
Database ORM	Prisma
Authentication	NextAuth
Deployment	Vercel

Getting Started

Prerequisites

• Node.js (v18 or later)
• A database supported by Prisma (e.g. PostgreSQL, SQLite)

Installation

1. Clone the repository:

   git clone https://github.com/rogervera/calorie-tracker.git
   cd calorie-tracker

2. Install dependencies:

   npm install

3. Set up environment variables. Create a .env file in the root with:

   DATABASE_URL="your-database-connection-string"
   NEXTAUTH_SECRET="your-nextauth-secret"
   NEXTAUTH_URL="http://localhost:3000"
   

4. Run database migrations:

   npx prisma migrate dev

5. Start the development server:

   npm run dev

6. Open http://localhost:3000 in your browser.

Project Structure

calorie-tracker/
├── prisma/          # Database schema and migrations
├── public/          # Static assets
├── src/             # Application source (pages, components, logic)
└── ...              # Config files

Development Notes

This project was developed with the assistance of AI-based development tools as part of a modern, AI-assisted workflow — used for scaffolding, debugging, and iteration while I directed the architecture, data model, and feature decisions.

License

This project is available for viewing as a portfolio piece.