All work

AI/ML · 2024

Risk Factors Visualization

Stanford Law hackathon tool that extracts SEC 10-K/10-Q risk factors and maps their relationships as an interactive graph.

Role
Developer
Timeline
Apr 2024
Team
Stanford Law hackathon
Year
2024

Overview

Automates risk-factor analysis in SEC filings (10-K, 10-Q): extraction, categorization, and an interactive relationship graph.

Challenge

Risk disclosures are buried across hundreds of pages and hard to compare across companies.

Solution

Used LangChain and GPT-3.5 to extract and categorize risk factors from EDGAR filings and rendered the relationships with NetworkX and PyVis in a Streamlit app.

Impact

  • Automated SEC risk-factor extraction
  • Interactive risk relationship graphs
  • Comparative analysis across companies

Technologies

PythonLangChainGPT-3.5StreamlitNetworkXPyVis
Zakaria Kortam | AI Engineer & Product Engineer