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https://github.com/chrispsang/wellness-wise
Wellness Wise is a comprehensive Health and Wellness Tracker designed to empower users by tracking their physical activities, diet, sleep, mood, and goals, while offering personalized insights and recommendations through advanced analytics.
https://github.com/chrispsang/wellness-wise
angular chartjs expressjs fitness flyio health jwt-authentication machine-learning nodejs postgresql sentiment-analysis supabase tracking vercel-deployment wellness
Last synced: 26 days ago
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Wellness Wise is a comprehensive Health and Wellness Tracker designed to empower users by tracking their physical activities, diet, sleep, mood, and goals, while offering personalized insights and recommendations through advanced analytics.
- Host: GitHub
- URL: https://github.com/chrispsang/wellness-wise
- Owner: chrispsang
- Created: 2024-08-10T15:45:06.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-13T07:05:09.000Z (3 months ago)
- Last Synced: 2024-10-11T02:21:44.631Z (26 days ago)
- Topics: angular, chartjs, expressjs, fitness, flyio, health, jwt-authentication, machine-learning, nodejs, postgresql, sentiment-analysis, supabase, tracking, vercel-deployment, wellness
- Language: TypeScript
- Homepage: https://wellness-wise.vercel.app
- Size: 47.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
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](#key-features)
- [Tech Stack](#tech-stack)
- [Prerequisites](#prerequisites)
- [Getting Started](#getting-started)
- [Deployment](#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](https://angular.io/)
- **Backend**: [Node.js](https://nodejs.org/), [Express.js](https://expressjs.com/)
- **Database**: [PostgreSQL](https://www.postgresql.org/)
- **Machine Learning**: [Python](https://www.python.org/) for sentiment analysis and recommendations
- **Charting Library**: [Chart.js](https://www.chartjs.org/) for visualizing mood trends.
- **Deployment**: [Vercel](https://vercel.com/) for frontend, [Fly.io](https://fly.io/) for backend, [Supabase](https://supabase.com/) for database.
## Prerequisites
Before you start, ensure you have the following software installed:
- **Node.js**: [Download Node.js](https://nodejs.org/)
- **PostgreSQL**: [Download PostgreSQL](https://www.postgresql.org/download/)
- **Angular CLI**: Install via npm: `npm install -g @angular/cli`
- **Python**: [Download Python](https://www.python.org/downloads/)
## Getting Started
### 1. Clone the Repository
```bash
git clone https://github.com/chrispsang/Wellness-Wise.git
cd Wellness-Wise
```
### 2. Setup the Backend
Navigate to the backend directory:
```bash
cd health-tracker-backend
```
**2.1 Install Dependencies**
```bash
npm install
```
**2.2 Set Up Environment Variables**
Create the `.env` file:
```bash
touch .env
```
Add the following configuration to the .env file:
```bash
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:
```bash
psql -U postgres -d postgres
```
- Create a new user:
```bash
CREATE USER new_user WITH PASSWORD 'new_password';
```
- Grant the new user the privilege to create databases:
```bash
ALTER USER new_user CREATEDB;
```
- Exit psql:
```bash
\q
```
2. **Create the health_wellness Database:**
- Connect to PostgreSQL as the new user:
```bash
psql -U new_user -d postgres
```
- Create the database:
```bash
CREATE DATABASE health_wellness;
```
- Exit psql:
```bash
\q
```
3. **Run the Schema Script:**
Now that the health_wellness database has been created, run the schema script:
```bash
psql -U new_user -d health_wellness -f ./schema.sql
```
**2.4 Run the Backend**
```bash
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:
```bash
cd health-tracker-frontend
```
**4.1 Install Dependencies**
```bash
npm install
```
**4.2 Run the Frontend**
```bash
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](https://wellness-wise.vercel.app)
- **Backend**: Deployed on Fly.io at [https://health-tracker-backend.fly.dev](https://health-tracker-backend.fly.dev)
- **Database**: Managed by Supabase
---