Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
Eco Sort is a web application designed to facilitate an AI-enabled waste segregation system aimed at promoting sustainable waste management practices in India. The app serves municipal corporations, hospitals, educational institutions, and corporate offices by automating the segregation of waste into various categories, ensuring a cleaner environment and efficient resource recovery.

## CORE FEATURES
1. **AI-Powered Waste Recognition**: Utilizes optical sensors and machine learning algorithms to automatically identify and categorize mixed waste into dry, wet, metal, and biomedical waste.
2. **Real-Time Data Analytics**: Provides municipalities with dashboards for tracking waste types, volumes, and segregation efficiency, enhancing decision-making and compliance with waste management regulations.
3. **Touch-Free Operation**: Ensures hygienic handling of waste through automated processes that minimize human intervention, particularly for biomedical waste.
4. **Modular and Scalable Design**: Allows for easy expansion and customization of the waste sorting system to meet the specific needs of different customers, such as hospitals or corporate offices.
5. **Waste Utilization Insights**: Offers recommendations for recycling, composting, and safe disposal methods based on the categorized waste, promoting sustainable practices.
6. **Compliance Monitoring**: Ensures adherence to government waste management rules and regulations, reducing legal and operational risks for users.

## DESIGN SPECIFICATIONS
- **Visual Style**: Minimalist - The design emphasizes a clean, simple aesthetic with ample white space to enhance readability and focus on content.
- **Color Mode**: Light theme with dark text on light backgrounds to ensure clarity and accessibility.
- **Layout**: A grid-based layout featuring a top navigation bar for easy access to different sections, a central dashboard displaying real-time analytics, and categorized waste input/output sections. Each section should be clearly defined with ample spacing for a tidy appearance.
- **Typography**: Use a sans-serif font such as "Roboto" or "Open Sans" for a modern look. Headings should be bold and larger for hierarchy, while body text should maintain a standard size for readability.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript for robust and scalable application development.
- **Styling**: Tailwind CSS for utility-first styling, enabling rapid UI development and customization.
- **UI Components**: Utilize shadcn/ui for pre-built, accessible UI components that align with the minimalist design.
- **State Management**: Implement Zustand or Recoil for efficient state management, especially for tracking user input and waste categorization.

## IMPLEMENTATION STEPS
1. **Set Up Project Environment**: Initialize a new React project with TypeScript and install Tailwind CSS and shadcn/ui.
2. **Design UI Components**: Create reusable components for the dashboard, waste input/output sections, and analytics display.
3. **Integrate AI Waste Recognition**: Develop the backend logic for waste identification using appropriate machine learning models and integrate with the front end.
4. **Build Data Analytics Dashboard**: Implement real-time data visualization components to display waste categorization metrics and trends.
5. **Implement Touch-Free Features**: Ensure that all interactions related to waste handling are automated and designed for minimal human contact.
6. **Test and Optimize for Responsiveness**: Ensure the application is fully responsive across devices and conduct user testing to gather feedback for improvements.

## USER EXPERIENCE
Users will interact with Eco Sort through a streamlined dashboard that displays waste categories, analytics, and system status. Users can input waste via a designated section, which initiates the segregation process. Alerts and updates will be provided in real-time, ensuring users are informed about the waste processing status. The application will also offer insights and recommendations for effective waste management practices, enhancing user engagement and promoting sustainable actions.