Fintech
Transaction Anomaly Detector
Spot unusual transactions with explainable reasons
Advanced24h2–3
PythonScikit-learnFastAPI
17/20Invoice Late-Payment Predictor
Predict which invoices will be paid late so you can act early.
Advanced24h2–3 people17/20 fit
Build Invoice Late-Payment Predictor for small businesses and agencies in ~24h with 2–3 people. Stack: Python + Scikit-learn + FastAPI.
Why it wins: Practical machine learning with business value.
Build flow
01 · Problem
Late payments hurt cash flow and come as surprises.
02 · Solution
Train a model on past invoice data such as client history, amount and terms, score open invoices and suggest reminder timing.
03 · Build
- 1Prepare sample data
- 2Train a model
- 3Explain features
- 4Build a dashboard
04 · Demo
Show open invoices ranked by late-payment risk.
MVP checklist
- Risk scores
- Feature explanations
- Reminder timing
- Dashboard
Tech stack
| Tech | Role | |
|---|---|---|
| Python | Backend / scripting | Backend |
| Scikit-learn | Tooling | Tool |
| FastAPI | External data | API |
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