Innovation Opportunities • Build sector-sensitive, adaptive scoring tools. • Include early-warning risk flags and scoring justifications. • Visual dashboards to track progress and repayment capacity. • Use behavior patterns (e.g., lateness in reporting) to predict risk.
Goal: Build a credit tool that scores and explains. Inputs: Revenue trends, sector data, soft behavior data. Outputs: Score, Tier, Rationale (text), Optional Visuals. Bonus: Include dashboards, projections, or policy flags.
Outcome: Build a tool that interprets the financial data to provide a scoring backed by rationale
git clone https://github.com/Powerlearnproject/Credit-Decisioning.git
Navigate to the working Directory
cd Credit-Decisioning