Wellness Wise

Wellness Wise is a comprehensive Health and Wellness Tracker that allows users to track their physical activities, diet, sleep, mood, and goals. The project showcases user-centric application development, integrating various types of data into a cohesive and useful tool.

Table of Contents

• Key Features
• Tech Stack
• Prerequisites
• Getting Started
• Deployment

Key Features

• Tracking Physical Activities: Log your workouts, track durations, and monitor progress.
• Diet Tracking: Record your daily food intake with calories and meal types.
• Sleep Tracking: Track your sleep patterns, including hours slept, start time, and end time.
• Mood Tracking: Record daily moods.
• Mood Analysis and Insights: Use sentiment analysis to provide insights into users' mood patterns and suggest ways to improve mental well-being.
• Dashboard for Mood Trends: Visualize sentiment trends over time in a chart, showing how the user's mood has changed.
• Goals Tracking: Set and monitor your health and wellness goals.
• Personalized Recommendations: Leverage machine learning algorithms to provide personalized recommendations for workouts, dietary changes, and sleep improvements.
• User Authentication: Secure user authentication using JWT (JSON Web Token).

Tech Stack

• Frontend: Angular
• Backend: Node.js, Express.js
• Database: PostgreSQL
• Machine Learning: Python for sentiment analysis and recommendations
• Charting Library: Chart.js for visualizing mood trends.
• Deployment: Vercel for frontend, Fly.io for backend, Supabase for database.

Prerequisites

Before you start, ensure you have the following software installed:

• Node.js: Download Node.js
• PostgreSQL: Download PostgreSQL
• Angular CLI: Install via npm: npm install -g @angular/cli
• Python: Download Python

Getting Started

1. Clone the Repository

git clone https://github.com/chrispsang/Wellness-Wise.git
cd Wellness-Wise

2. Setup the Backend

Navigate to the backend directory:

cd health-tracker-backend

2.1 Install Dependencies

npm install

2.2 Set Up Environment Variables

Create the .env file:

touch .env

Add the following configuration to the .env file:

DB_HOST=localhost
DB_USER=new_user
DB_PASSWORD=new_password
DB_NAME=health_wellness
DB_PORT=5432
PORT=3000
ACCESS_TOKEN_SECRET=your_jwt_secret 

2.3 Set Up PostgreSQL Database

Before running the schema script, follow these steps to create a new PostgreSQL user and set up the health_wellness database:

1. Create a New PostgreSQL User:

   • Open your terminal and connect to the PostgreSQL server using the default postgres superuser:

     psql -U postgres -d postgres

   • Create a new user:

     CREATE USER new_user WITH PASSWORD 'new_password';

   • Grant the new user the privilege to create databases:

     ALTER USER new_user CREATEDB;

   • Exit psql:

     \q

2. Create the health_wellness Database:

   • Connect to PostgreSQL as the new user:

     psql -U new_user -d postgres

   • Create the database:

     CREATE DATABASE health_wellness;

   • Exit psql:

     \q

3. Run the Schema Script:

   Now that the health_wellness database has been created, run the schema script:

   psql -U new_user -d health_wellness -f ./schema.sql

2.4 Run the Backend

node src/server.js

3. Access the Backend

Open your browser and go to http://localhost:3000 to access the backend.

4. Setup the Frontend

Navigate to the frontend directory:

cd health-tracker-frontend

4.1 Install Dependencies

npm install

4.2 Run the Frontend

ng serve

5. Access the Application

Open your browser and go to http://localhost:4200 to access Wellness Wise.

Deployment

The application is deployed and accessible via the following links:

• Frontend: Deployed on Vercel at https://wellness-wise.vercel.app
• Backend: Deployed on Fly.io at https://health-tracker-backend.fly.dev
• Database: Managed by Supabase

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