YummyFit

YummyFit is a food diary website that aims to help you record your daily diet and allows you to easily track your calorie and macronutrient intake.

🖥️ Website URL : https://yummy-fit.com/

🍽 Test account and password :

• test@test.com / test1234

Demo

• Select a day to record your diet and upload photos of your meals.

• Personalize your food based on individual needs.
  • Supports automatic scanning for nutrition facts labels.

• Analyze daily & weekly intake data, help you reach target values.

• Provide social media platform to connect food enthusiasts and facilitate interaction among them.

Table of Contents

• Main Features
• Architecture
• Database Schema
• Backend Technique
  • Deployment
  • Environment
  • Database
  • AWS Cloud Service
  • Networking
  • Authentication
  • Third Party Library
  • Version Control
• Frontend Technique
• API Doc
• Contact

Main Features

• Member System
  • Supports local sign-in or sign-in with Google account (OAuth2.0).
  • User authentication is achieved with Json Web Token.
• Diet Record Features
  • Supports searching for all foods available on this website.
  • Users can personalize their food based on individual needs.
  • Supports automatic scanning for nutrition facts labels.
  • Tracks daily and weekly calorie and macronutrient consumption status to ensure that your diet meets your health goals.
  • Supports recording photos of meals.
• Social Media Platform
  • Allows users to create posts, check in at specific locations, and share photos and articles.
  • Enables users to comment on or like posts.

Architecture

• Server Architecture

Database Schema

Backend Technique

Deployment

• Docker

Environment

• Node.js / Express.js

Database

• MySQL

AWS Cloud Service

• EC2
• RDS
• S3
• CloudFront

Networking

• HTTP & HTTPS
• Domain Name System (DNS)
• NGINX
• SSL

Authentication

• Google OAuth / passport.js
• Bcrypt
• JSON Web Token (JWT)

Third Party Library

• Google Cloud Vision API
• Google Places API

Version Control

• Git / GitHub

Frontend Technique

• HTML
• CSS
• JavaScript
• AJAX
• Third Party Library
  • Chart.js

API Doc

📃 API Doc

Contact

🍭 盧佩瑩 Pei Ying Lu

📧 Email : peggy2000000@gmail.com