GenEco - Responsible Business Practices through AI

Overview

GenEco is a pioneering initiative designed to leverage artificial intelligence to foster more responsible business practices. This project is aimed at enhancing environmental sustainability, promoting social equality and inclusivity, and informing governance and policy. GenEco uses a data-first approach, integrating Generative AI (GenAI) to address and mitigate the risks associated with AI deployments, particularly in the domains of corporate responsibility.

Features

• Carbon Footprint Simulation: Calculate and simulate the carbon footprint of AI operations, providing actionable insights into energy consumption and emission reductions.
• Data-Driven Insights: Utilize extensive data analytics to offer recommendations for optimizing business processes and reducing environmental impact.
• Policy Frameworks: Develop governance models that incorporate responsible AI usage to ensure compliance and ethical AI deployment.

Technology Stack

• AI and Machine Learning: Tools like NVIDIA AI Enterprise and AWS Machine Learning for predictive analytics and data processing.
• Cloud Platforms: Utilizes services from AWS, Google Cloud, and Microsoft Azure for scalable, secure cloud computing.
• Data Security: Integration of Cisco Hypershield for enhanced AI data center and cloud security.

Figma Designs

• UI/UX Designs: View Designs on Figma
• Development Mode: Access Dev Mode on Figma
• Youtube Link: Access Youtube Demo Link
• Ideation: Google Docs Link

Getting Started

Prerequisites

• Node.js
• npm or Yarn
• Access to cloud platforms (AWS, Google Cloud, or Azure)
• ML models

Installation

1. Clone the repository

   git clone https://github.com/Jaanhvi18/genEco.git
   cd app

2. Install dependencies

   npm install

   or

   yarn install

3. Set up environment variables

   • Create a .env file in the project root.
   • Add your cloud and database credentials.

4. Run the application

   npm start

   or

   yarn start

Usage

• Dashboard: Access the main dashboard to view real-time data on AI usage and its environmental impact.
• Carbon Calculator: Enter operational data to calculate the carbon footprint and explore strategies for reduction.
• Policy Recommendations: Review generated reports on compliance and governance tailored to your operational framework.

Resources

• NVIDIA AI Enterprise on OCI
• HPE's AI-Native Architecture
• Infosys on AWS
• Wu, Carole-Jean et al. “Sustainable AI: Environmental Implications, Challenges and Opportunities.”
• Energy and Carbon Considerations of Fine-Tuning BERT
• CodeCarbon

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgments

• UCLA LA Hacks 24 for the opportunity to develop this project.
• All third-party libraries and frameworks used in the development of GenEco.