Lovable Prompt Creator - AI Prompt Generator

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## APPLICATION OVERVIEW
Develop a high-fidelity web application for Nutritional Pre-Consultation Screening, aimed at collecting comprehensive patient data before their consultation. The system will facilitate a streamlined and efficient data entry process for users while providing nutritionists with vital insights into their patients' dietary habits and health conditions.

## CORE FEATURES
1. **Multi-Step Data Collection**: Organize the data entry into logical sections to enhance user experience and prevent overwhelming the patient.
   - **Profile & Routine**: Collect basic information such as name, age, profession, and sleep schedule.
  
2. **Dietary Habits**: 
   - **Meal Frequency**: Users can indicate how many meals they consume daily via intuitive controls.
   - **Dietary Restrictions**: Options for vegetarian, vegan, or omnivore diets.

3. **Diet History**: Inquire about any specific diets the user has followed recently to understand their dietary background.

4. **Aversions, Allergies, and Intolerances**: Provide a multi-select list and a text box for users to detail any food sensitivities.

5. **Health Symptoms & Medications**: Include a checklist for common symptoms and a section for listing medications or supplements taken.

6. **Nutritionist Summary Dashboard**: A concise overview for nutritionists featuring critical alerts (in red) for allergies and a notes section for clinical observations.

## DESIGN SPECIFICATIONS
- **Visual Style**: Minimalist with a clean and simple layout that emphasizes usability and readability. Utilize a light background with ample white space.
- **Color Mode**: Light theme featuring a soft gray (#E5E5E5) background with dark text for optimal contrast.
- **Layout**: The application will be structured in a multi-step format with clearly defined sections. Each step will be displayed as a card against a subtle background to maintain focus.
- **Typography**: Use a modern sans-serif font for headings (bold for emphasis) and a lighter variant for body text to ensure clarity and readability.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript for robust type safety and component-based architecture.
- **Styling**: Tailwind CSS for utility-first styling and responsive design capabilities.
- **UI Components**: Utilize shadcn/ui for consistent and customizable UI elements.
- **State Management**: Implement state management using React Context or a suitable library if necessary for global state handling.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript and install necessary dependencies (React, Tailwind CSS, shadcn/ui).
2. **Design Multi-Step Form**: Create components for each section of the data collection process, ensuring smooth transitions between steps.
3. **Implement Data Validation**: Ensure that user inputs are validated for accuracy and completeness before submission.
4. **Design Nutritionist Dashboard**: Develop a summary view for nutritionists to easily access patient insights and clinical notes.
5. **Add Visual Elements**: Incorporate checkboxes, sliders, and progress bars to enhance the interactivity and engagement of the form.
6. **Testing**: Conduct user testing to gather feedback on usability and make necessary adjustments.

## USER EXPERIENCE
The application will guide users through each step of the data collection process with clear instructions and visual cues. The use of checkboxes and sliders will allow for quick data entry, while a progress bar will incentivize completion. Upon finishing, users will receive a confirmation message, and nutritionists will have immediate access to summarized patient data, highlighting critical information for efficient consultation.
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