ESGenius

ESGenius

ESG Data-Driven Decision Support System

About Us
Link to Web Application

Background

Environmental, Social, and Governance (ESG) has become a prominent topic in recent years, with ESG investing experiencing exponential growth. However, the ESG ratings provided by various agencies often lack consistency and comparability as they rely on varying methodologies and frameworks. This inconsistency poses significant challenges for investors and companies striving to make informed decisions in the ESG arena.

The central focus of this project is on the development of a robust full-stack web application that empowers users to enhance decision-making in the ESG arena by improving the accuracy and applicability of ESG ratings through the use of machine learning and risk modelling techniques.

Objectives

  • Build a full-stack and scalable web application

  • Develop an ESG scoring model using Machine Learning techniques

  • Provide user-friendly comparison dashboards across ESG key performance indicators

  • Research into Natural Language Processing techniques to provide ESG performance feedback