Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This web application aims to enhance the functionality of document upload and analysis, focusing on accurately identifying clients and their related problems from uploaded documents such as call transcripts. The goal is to create a seamless user experience that empowers consultants to better understand and serve their clients through effective data extraction and analysis.

## CORE FEATURES
1. **Document Upload**: Users can easily upload various document types (e.g., PDFs, Word files) containing client conversations or descriptions.
2. **Client Identification**: An intelligent algorithm that processes uploaded documents to consistently identify clients mentioned within.
3. **Content Analysis**: The app analyzes the content of the documents to extract relevant client problems and highlights key insights.
4. **Search Functionality**: Users can search through uploaded documents and extracted data for quick access to specific information.
5. **User Dashboard**: A clean and intuitive dashboard that displays uploaded documents, their analysis results, and insights in a user-friendly manner.
6. **Feedback Mechanism**: Users can provide feedback on the accuracy of client identification and content analysis to improve the algorithm over time.

## 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 feature a top navigation bar, a hero section for document uploads, followed by a dashboard displaying document analysis results, with a sidebar for navigation.

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

## IMPLEMENTATION STEPS
1. **Set Up Development Environment**:
   - Install Node.js and create a new React project using Create React App with TypeScript.
   - Install Tailwind CSS and configure it for use in the project.
   - Set up shadcn/ui for UI components.

2. **Create the Document Upload Component**:
   - Develop a component for file uploads with drag-and-drop functionality.
   - Implement input validation for file types and sizes.

3. **Develop the Client Identification Algorithm**:
   - Integrate natural language processing libraries to analyze text.
   - Create functions to extract client names and issues from the documents.

4. **Build the User Dashboard**:
   - Design and implement the dashboard layout to display uploaded documents and analysis results.
   - Include visual elements like cards for each document with links to detailed analyses.

5. **Implement the Search Functionality**:
   - Create a search bar component that filters through documents and extracted content.
   - Ensure search results are displayed dynamically as users type.

6. **Feedback Mechanism**:
   - Develop a feedback form to collect user inputs on the accuracy of the analyses.
   - Implement a backend endpoint to store feedback for future improvements.

7. **Testing and Deployment**:
   - Conduct thorough testing, including unit tests and user acceptance testing.
   - Deploy the application using a platform like Vercel or Netlify.

## USER EXPERIENCE
Users will begin by accessing the application landing on a clean and straightforward interface. They can upload documents easily using the drag-and-drop feature. Once documents are uploaded, they will see a dashboard with insights and the ability to search through content. Users can provide feedback on the accuracy of client identification, contributing to the improvement of the analysis algorithm. The minimalist design ensures a focus on functionality without unnecessary distractions, providing a smooth and efficient user experience.