Mood Tracker Web Application

A web application that allows users to track their daily moods using a simple emoji-based interface. This project is built to experiment with AWS services and Infrastructure as Code using Terraform.

Architecture

The application uses several AWS services orchestrated with Terraform:

• Frontend: Static website hosted on S3 and distributed via CloudFront
• Backend: Serverless architecture using AWS Lambda and API Gateway
• Database: DynamoDB for storing mood data
• Infrastructure: Managed with Terraform and hosted on Terraform Cloud

Key Components

• S3 bucket for static website hosting
• CloudFront distribution for content delivery
• API Gateway for REST endpoints
• Lambda function for backend processing
• DynamoDB table for data persistence
• IAM roles and policies for security

Features

• Simple emoji-based mood selection interface
• Daily mood tracking and averaging
• User-specific mood history
• Responsive design that works on mobile devices

Technical Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Node.js (Lambda function)
• Infrastructure: Terraform
• AWS Services: S3, CloudFront, API Gateway, Lambda, DynamoDB, IAM
• CI/CD: Terraform Cloud

Project Structure

• *.tf files - Terraform configuration files
• lambda/ - Lambda function source code
• index.html - Frontend web application
• variables.tf - Terraform variables definition
• outputs.tf - Terraform output values

Prerequisites

• AWS Account
• Terraform Cloud Account
• Terraform CLI
• Node.js (for Lambda development)

Getting Started

1. Clone the repository
2. Configure AWS credentials
3. Initialize Terraform - terraform init
4. Apply infrastructure - terraform apply. You need to authorize or use the flag --auto-approve.

This is an experimental project for learning purposes. Feel free to fork and modify for your own use :)