Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
AQUA-ID is a web application designed as an Intelligent Urban Wastewater Classification and Treatment Monitoring Platform. It aims to provide real-time monitoring and classification of wastewater in densely populated areas, leveraging sensor data and machine learning to ensure environmental safety and operational efficiency.

## CORE FEATURES
1. **Real-Time Sensor Monitoring**: Displays live data from wastewater sensors, including pH, EC, turbidity, and temperature, with automatic updates.
2. **Wastewater Classification**: Utilizes a Random Forest ML model to classify wastewater into Greywater, Blackwater, and Unknown while providing classification confidence levels.
3. **Treatment Route Recommendations**: Offers recommendations for treatment based on classification outcomes, requiring human/operator verification before action.
4. **Dashboard Analytics**: Presents key performance indicators (KPIs), historical data, alerts, and geographic visualizations for municipal authorities and treatment operators.
5. **Alerts System**: Notifies users of critical statuses such as Blackwater detection, Unknown classifications, and sensor anomalies.
6. **User Role Management**: Supports multiple user roles (Public, Operator, Agency Admin) with varying levels of data access and control.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography.
- **Color Mode**: Light theme with dark text on light backgrounds.
- **Primary Color**: #1978E5 (accent for buttons, links, highlights).
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements.
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs.
- **Layout**: The main layout will consist of a top navigation bar, a side menu for sections (like Dashboard, Live Monitoring, etc.), and a central content area for displaying real-time data and analytics.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Use React Context or Redux for managing application state as needed.

## IMPLEMENTATION STEPS
1. **Set Up the Development Environment**: Initialize a new React project with TypeScript and install Tailwind CSS and shadcn/ui.
2. **Create the Main Layout**: Implement the top navigation and side menu structure. Use Tailwind for styling and layout.
3. **Develop the Dashboard Page**: Create the main dashboard component that includes KPIs, live sensor monitoring cards, and classification details.
4. **Implement Live Data Simulation**: Set up a simulated API that provides random sensor data and classification results. Use WebSocket or set intervals for live updates.
5. **Create the Classification Component**: Design a component that displays current classifications, confidence levels, and recommended treatment routes.
6. **Build the Alerts System**: Develop an alert component to notify users of critical statuses, integrating it with the main dashboard.
7. **Implement User Role Management**: Set up role-based access control to restrict features based on user type (Public, Operator, Agency Admin).
8. **Design the Treatment Monitoring Page**: Create a section for displaying treatment units and their statuses, ensuring a clear recommendation process.
9. **Finalize Responsive Design**: Ensure that all components are responsive, providing a good user experience across devices, particularly focusing on desktop-first design.
10. **Testing and Debugging**: Conduct thorough testing to ensure functionality and fix any issues before deployment.

## USER EXPERIENCE
Users will interact with the AQUA-ID application primarily through the dashboard. Upon logging in, they will see real-time sensor data and classifications. The layout allows easy navigation between different functionalities, such as viewing historical analytics and alerts. Users will be able to confirm treatment recommendations and monitor the health of sensors, ensuring they have a comprehensive view of wastewater management in their jurisdiction. The interface will communicate important statuses clearly, using color-coded alerts to enhance user interaction and decision-making processes. 

This design and implementation plan will create a fully functional, minimalist light application that aligns with the user's vision for AQUA-ID, ensuring a professional appearance suitable for municipal and environmental monitoring agencies.