Challenge 1
The team built Jim‑E, an interactive AI‑assisted risk review tool that applies SME heuristics to project risk entries. Using a lightweight Streamlit interface and encoded heuristic rules, the solution helps users identify weak risks and mitigations, capture structured feedback, and generate clear audit‑ready reports.
Please be aware that this content was generated follwing an automated review so may not be perfectly accurate; refer to the original challenge brief and team files for authoritative information
Improves the consistency and quality of risk register entries by systematically applying SME heuristics; reduces time spent reviewing risks and mitigations; provides clearer evidence trails to support earlier intervention and better risk decisions.
jim-e_ui_demo_final.py: Streamlit user interface for capturing risk descriptions, SME agreement and feedback, and generating structured reviews.hassans_brilliance.py: Core application logic for managing submission history and producing PDF risk review reports.Heurisitcs.docx: Documented SME risk heuristics used to assess risk quality and mitigation strength.
team: Jim-E members: tbc topics: solution-centre, hack26, challenge1, python, streamlit, reportlab, pandas, large-language-models, risk-management, heuristics, tacit-knowledge, data-quality, project-risk, human-in-the-loop technologies: python, streamlit, reportlab, pandas, large-language-models