Aqua Analytics

Aqua Analytics is a Django-based web application for monitoring, analyzing, and controlling water-related systems. It provides dashboards, insights, statistics, and alert management for sensor and motor data.

Features

• Interactive dashboard for real-time data visualization
• Alerts and notifications for system events
• Insights and statistics pages for historical analysis
• Motor control and sensor management
• Modular frontend with reusable components

Screenshots

Dashboard Pages

Statistics Pages

Insights Page

Alerts Page

Project Structure

aqua_analytics/
├── aqua_analytics/        # Django project settings
├── aqua/                 # Main app: models, views, templates, static files
│   ├── static/aqua/      # CSS and JS assets
│   ├── templates/aqua/   # HTML templates
│   ├── models.py         # Data models
│   ├── views.py          # App views
│   └── mongo_client.py   # MongoDB integration
├── db.sqlite3            # SQLite database
├── manage.py             # Django management script
├── requirements.txt      # Python dependencies
└── README.md             # Project documentation

Installation

1. Clone the repository:

   git clone 
   cd aqua_analytics

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   .venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Apply migrations:

   python manage.py migrate

5. Run the development server:

   python manage.py runserver

Usage

• Access the dashboard at http://127.0.0.1:8000/
• Explore pages: Dashboard, Alerts, Insights, Statistics
• Use sidebar navigation for different sections

Development

• Static files: aqua/static/aqua/
• Templates: aqua/templates/aqua/
• Main app logic: aqua/models.py, aqua/views.py
• MongoDB integration: aqua/mongo_client.py