Open Source Ecosystems

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.

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:

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
```
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
```
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
```