Breeze Mental Health Application

Overview

Breeze is a comprehensive mental health management system designed to facilitate interactions between Mental Health Well-being Practitioners (MHWPs) and patients. The application provides features like appointment scheduling, mood tracking, journal management, and user-friendly summaries for practitioners and administrators.

This project is implemented purely in Python without any third-party libraries, ensuring a seamless and lightweight setup. It includes an automated data seeding script (seeder.py) embedded within main.py.

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Installation

Requirements

• Python 3.10 or above

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Getting Started

Step 1: Clone the Repository

git clone <repository_url>
cd Breeze

Step 2: Run the Application

Simply run the following command:

python3 main.py

• The application will check for missing dependencies and install them automatically.
• If the data/users.json file does not exist, the seeder.py script will generate it with dummy data.

Application Structure

Breeze/
│
├── breeze/
│   ├── app.py                # Core application logic
│   ├── services/             # Business logic for different user roles
│   ├── models/               # User and appointment models
│   ├── utils/                # Utility functions and helpers
│
├── data/
│   ├── users.json            # Data store for users and appointments (auto-generated)
│   └── seeder.py             # Generates dummy data for development/testing
│
├── main.py                   # Entry point for the application
└── README.md

Usage

Admin

• Features:
  • View summaries of all users.
  • Manage users (add, delete, disable, edit).

MHWP

• Features:
  • View assigned patients.
  • Access patient records (add, delete, edit conditions and prescriptions).
  • Manage appointments with patients.

Patients

• Features:
  • Log mood entries and journal entries.
  • Book an appointment with assgiend mhwp.
  • View hisotries (mood, journal, appointment).
  • Seach for meditation exercises.
  • Learn about mental conditions.

Development Details

Data Seeding

• The seeder.py script is embedded in main.py.
• On the first run, it generates dummy data for users.json in the /data directory.
• If users.json already exists, it is overwritten to ensure a fresh start.

Important Notes

• Ensure Python 3.10 or above is installed on your system.
• To regenerate the users.json file, delete the existing file in /data and rerun main.py.
• The project does not use third-party packages, ensuring a lightweight and efficient setup.