Prospects Dashboard

This project is a dynamic web-based dashboard designed to help manage and visualise AI & Creative Technology consulting opportunities within Northwest England. It provides a comprehensive overview of prospects, allowing users to filter, search, and analyse data, as well as manage prospect statuses and notes.

Features

• Dynamic Data Loading: Prospect data is loaded from an embedded CSV string within the JavaScript, making it easy to update and manage.
• Filtering and Search: Users can quickly find prospects by searching across various fields or by applying filters based on type and location.
• Interactive Table: A sortable and searchable table displays prospect information, including name, type, location, contact details, and status.
• Prospect Details Modal: Clicking on a prospect in the table or using the "View" button opens a detailed modal, allowing users to view comprehensive information, update status, and add notes.
• Analytics Section: A dedicated section provides visual analytics, including charts for prospect type distribution and geographic distribution, along with summary statistics.
• Data Export: Users can export the filtered prospect data to a CSV file for external use.
• Responsive Design: The dashboard is designed to be responsive, providing an optimal viewing experience across various devices.

Technologies Used

• HTML5: For the structure of the web application.
• CSS3: For styling and layout, including a custom design system.
• JavaScript (ES6+): For dynamic functionality, data handling, and user interaction.
• Chart.js: A popular JavaScript charting library used for rendering the analytics graphs.

How to Use

1. Clone the repository:

   git clone https://github.com/TheDreamLabUK/prospects-dashboard.git

2. Navigate to the project directory:

   cd prospects-dashboard

3. Open index.html: Simply open the index.html file in your web browser. No local server is required to run the basic functionality.

Project Status

This project is a demonstration of an agentic output from Perplexity Labs. It was developed entirely by an AI agent without any human intervention, showcasing the capabilities of autonomous code generation and problem-solving.