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

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

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

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.

Multi-Objective Portfolio Optimization Library for Sustainable Investments

Multiobjective portfolio optimization with sustainability factors considered.

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

AI-Augmented ESG Analysis

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)

AI-powered ESG fund analysis platform. I built this mostly in one weekend back in May 2023. It won the Changemakers Catalyst Fund prize (Homerton College, Cambridge) and was a finalist in the Cambridge University Entrepreneurs' £10k Competition (pitched by Yuge Zhang and May Zhao).

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

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.

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

GreenSight - Analyze and evaluate Environmental, Social, and Governance (ESG) factors for companies. The application provides insights into a company's ESG performance, trends, and impact, offering a comprehensive view of its sustainability practices.

Researching and Analyzing key ESG (Environmental, Social, Governance indicators) metrics and their impact on stock performance and market behavior. Leveraging AI techniques (like Machine Learning and NLP) in finance to extract insights from ESG disclosures, enhancing financial predictions and sustainable investment strategies.

ESG Sentiment Analysis based on Twitter Tweets

Developed an API integrating machine learning model (Random Forrest) to assess sustainability risks in investment portfolios using Django.

A comprehensive app designed to help investors make informed decisions based on sustainability and ESG