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    MultiTrack AI - Prompt: – Inteligencia en Licitaciones Multilaterales" System Role: Eres un experto en desarrollo SaaS para el sector de...

    Lovable
    Enhanced
    Minimalist
    light mode
    2h ago

    Generated Prompt

    ## APPLICATION OVERVIEW
    MultiTrack AI is a web application designed for the international consulting sector, focusing on aggregating and intelligently analyzing multilateral tenders from organizations such as the World Bank, AIIB, and UNDP. The application will leverage data scraping and sophisticated algorithms to provide users with valuable insights and match scores for various tenders based on their company profiles.
    
    ## CORE FEATURES
    1. **Intelligent Search and Company Profile**: Users can upload company assets (CVs, project references) and receive a match score based on tender requirements against their profile through semantic matching.
    
    2. **Award Analysis and Win Probability**: A dashboard feature that displays historical award data along with a visual gauge chart indicating the probability of success for each tender, color-coded for easy interpretation.
    
    3. **Marketplace of Experts**: A directory where users can find independent consultants filtered by sector and expertise, with a quick match function to identify necessary gaps for specific tenders.
    
    4. **User Feedback Loop**: This feature allows users to mark tender results as relevant or not, helping to refine the matching algorithm over time.
    
    5. **Responsive Dashboard Interface**: The application will feature a high-tech dashboard with a focus on usability, featuring an explorer for tenders, detailed tender views, and profile management.
    
    6. **Data Architecture and Mocking**: A well-structured data schema ready for future API integrations, incorporating mock data for initial development phases.
    
    ## 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 layout will feature a sidebar for navigation, a main content area for dashboards and detailed views, and a header for branding and user actions.
    
    ## TECHNICAL REQUIREMENTS
    - **Framework**: React with TypeScript.
    - **Styling**: Tailwind CSS.
    - **UI Components**: shadcn/ui.
    - **State Management**: [Redux or Context API as needed].
    
    ## IMPLEMENTATION STEPS
    1. **Set up the project**: Initialize a React application using Create React App with TypeScript template.
    2. **Install dependencies**: Add Tailwind CSS, shadcn/ui, and any required state management libraries (e.g., Redux).
    3. **Design the layout**: Create the main components including Sidebar, Header, and Content areas using Tailwind CSS for styling.
    4. **Implement core features**: Develop the intelligent search functionality, award analysis panels, and expert marketplace directory.
    5. **Set up data architecture**: Create mock data schemas and integrate them with the frontend components.
    6. **Implement user feedback loop**: Set up the relevant/not relevant functionality for tender results.
    7. **Test responsiveness**: Ensure that all views are fully responsive and functional on both tablet and desktop devices.
    
    ## USER EXPERIENCE
    Users will interact with a sleek dashboard that allows them to easily navigate through tenders, upload their company profiles, view match scores, and analyze historical data. The process of finding and assessing tenders will be streamlined through a user-friendly interface, with visual indicators for win probabilities and expert recommendations enhancing overall usability.

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