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SSA-DASHBOARD_2

Transform Data into Impactful Sustainability Insights

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Built with the tools and technologies:

JSON Markdown npm React TypeScript Vite


Table of Contents


Overview

SSA-Dashboard_2 is a React-based platform designed for creating interactive, real-time ESG performance dashboards. It combines modular components, AI-driven insights via Google GenAI, and flexible data handling utilities to streamline the development of sophisticated sustainability analysis tools.

Why SSA-Dashboard_2?

This project empowers developers to build dynamic, data-driven ESG assessment applications with ease. The core features include:

  • 🖥️ Modular Architecture: Reusable components for insights, dashboards, icons, and data processing.
  • ⚡ Real-Time Visualization: Live updates of ESG metrics, enabling immediate performance insights.
  • 🤖 AI Integration: Leverages Google GenAI for automated data analysis and trend detection.
  • 🛠️ Data Utilities: Supports Excel parsing and dynamic calculations for flexible data workflows.
  • 🎨 Customizable UI: Consistent, scalable SVG icons and responsive design for a polished user experience.
  • 🛠️ Configurable Environment: Built with Vite and TypeScript for a smooth development process.

Getting Started

Prerequisites

This project requires the following dependencies:

  • Programming Language: TypeScript
  • Package Manager: Npm

Installation

Build SSA-Dashboard_2 from the source and install dependencies:

  1. Clone the repository:

    ❯ git clone https://github.com/FarhAnonymous/SSA-Dashboard_2
    
  2. Navigate to the project directory:

    ❯ cd SSA-Dashboard_2
    
  3. Install the dependencies:

Using npm:

❯ npm install

Usage

Run the project with:

Using npm:

npm start

Testing

Ssa-dashboard_2 uses the {test_framework} test framework. Run the test suite with:

Using npm:

npm test

You can explore the live version of the dashboard here:
🔗🖥️ View on Vercel


⬆ RETURN

About

Interactive SSA (Social Sustainability Assessment) dashboard developed for evaluating sustainability indicators based on Excel datasets. Designed for academic and research use.

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