AI-Augmented ESG Analysis

Lanterna verde é um sistema de avaliação do nível de práticas de greenwashing de uma organização ou produto.

code and documentation for my Bachelor's thesis, which delves into a data-driven exploration of sustainability reports from DAX 40 companies using Natural Language Processing (NLP). The analysis aims to uncover potential greenwashing tendencies through a comprehensive examination of sentiment values, SDG alignment, ESG scores, and company size.

An AI-powered Streamlit web app to detect greenwashing in sustainability claims using DistilBERT (MNLI) model. Classifies input text into: Greenwashing, Genuine, or Marketing Hype. Built by Team BharatWin 🇮🇳.

Analyzes 10 years of SEC 10-K filings from S&P 50 firms using NLP and Guided LDA to evaluate ESG communication clarity and detect greenwashing. Introduces the Greenwashing Risk Index (GRI) to measure balance between ESG emphasis and linguistic transparency.

Greenwashing Risk Assessment Tool (GRAT) from my master's thesis (TU Delft & Leiden). Developed for European electric utilities by combining environmental performance metrics with NLP-based sustainability report analysis. Adaptable to other sectors.

Data from thesis on how to detect greenwashing in a semi-automated way

AI-powered ESG Document Verifier

NLP tool to flag greenwashing and provide insights through corporate reports

Discover with ease if an Environmental Education Project or Program (EEPP) engages in greenwashing

🌱 Analyze ESG disclosures for clarity and greenwashing using NLP to enhance corporate transparency and credibility in reporting.