eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.

In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility

Analyse environmental, social, and governance policies for potential gaps using AI - powered by LLMs, RAG techniques, and a regulatory knowledge base using OpenAI API, LangChain, Pinecone and Streamlit.

Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.

Workflow Execution Service Backend

eco4cast library aims to reduce carbon footprint of machine learning models with predictive cloud computing scheduling

AI-Augmented ESG Analysis

Multi-Objective Portfolio Optimization Library for Sustainable Investments

Extract Structured data(knowledge graph) from unstructured ESG data.

Multiobjective portfolio optimization with sustainability factors considered.

ESG Report Analysis and Greenwashing Detection is an interactive application that enables the analysis of ESG reports to identify signs of greenwashing. Based on predefined criteria, the tool assigns a risk score and offers an interactive search system through an intelligent chat (RAG).

Application performance monitor (APM) for energy logging and carbon estimation in Python applications with uncertainty-aware marginal emissions.

A serverless solution to streamline ESG compliance using AI-driven automation. Built with the AWS CDK (Python), Amazon Textract, Amazon Bedrock, and other AWS services to process and analyse compliance reports.

Group coursework for ARIN7102 (HKU 2023)

This is an esg trend analysis project. The app reads corporate news articles, classifies them by topic and draws a the company's sentiment trend time series for the specified period.

Python Statsmodel, Pandas, Seaborn on study on ESG vs stock price volatility.

Open-source Life Cycle Assessment engine that scores any consumer product's environmental footprint using activity-based emission factors, Monte Carlo simulation, and machine learning. Includes FastAPI backend, Streamlit dashboard, and Jupyter notebooks.

Fork of code repository for measuring corporate culture, modified to accommodate for corporations' CSR and ESG initiatives, including DEI values

Organizations face increasing regulatory, environmental, and economic pressure to embed sustainability across the entire product lifecycle. This whitepaper presents an AI-driven Sustainable Product Lifecycle Intelligence Platform that integrates lifecycle carbon accounting, cost optimization, supplier ESG evaluation, explainable AI (LLM-based).

AI-driven predictive maintenance system with Bayesian risk, optimization, ESG impact, and human-in-the-loop decision intelligence.