Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
Doctor Palto is a web application designed specifically for avocado farmers to diagnose nutritional problems based on various symptoms observed in the field. The application aims to provide quick and accurate recommendations for treatment, helping farmers effectively manage their crops and enhance productivity.

## CORE FEATURES
1. **Symptom Diagnosis**: Users can select from a comprehensive list of symptoms such as yellowing leaves, defoliation, and stunted growth to identify potential nutritional deficiencies.
2. **Agronomic Recommendations**: After diagnosing a symptom, the application provides tailored recommendations on what nutrients to apply and the appropriate dosage per hectare.
3. **Multiple Choice Interface**: A user-friendly multiple-choice format allows for quick symptom identification, ensuring farmers can find solutions rapidly.
4. **Example Cases**: The application presents three detailed example cases that illustrate the diagnostic process and corresponding agronomic recommendations, aiding users in understanding the application’s functionality.
5. **User Account Management**: Farmers can create accounts to save their diagnostic history and recommendations for future reference.
6. **Responsive Design**: The application will be fully responsive, ensuring usability across various devices, including smartphones and tablets.

## 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 header with navigation, a central diagnostic section with symptom selection, a recommendations area, and a footer with contact information.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript.
- **Styling**: Tailwind CSS.
- **UI Components**: shadcn/ui.
- **State Management**: Redux or Context API for managing user state and symptom data.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize the React project with TypeScript and install necessary dependencies (React Router, Tailwind CSS, shadcn/ui).
2. **Create Components**: Develop core components such as Header, SymptomSelector, Recommendations, and Footer.
3. **Implement Routing**: Set up routing for different sections of the application, including user account management and diagnostic features.
4. **Design UI**: Apply Tailwind CSS for styling according to the specified design specifications, focusing on a minimalist aesthetic.
5. **Develop Symptom Diagnosis Logic**: Implement logic to handle user input, diagnose symptoms, and generate agronomic recommendations.
6. **Integrate User Authentication**: Set up user authentication for account management and saving user data.
7. **Testing**: Conduct thorough testing, including user testing and debugging to ensure the application works seamlessly across devices.
8. **Deployment**: Deploy the application using a platform like Vercel or Netlify.

## USER EXPERIENCE
Users will interact with the application by selecting symptoms from a well-organized multiple-choice layout. Once they select their symptoms, they will receive immediate feedback with diagnostic results and recommendations. The application will be intuitive, with clear calls to action and easy navigation, ensuring that farmers can efficiently use the tool to enhance their avocado cultivation practices.