Predict which invoices will be paid late so you can act early
Advanced24h2–3
PythonScikit-learnFastAPI
17/20Invoice Fraud Flagger
Catches duplicate invoices and changed bank details before payment.
Advanced36h2–4 people16/20 fit
Build Invoice Fraud Flagger for small-business finance teams in ~36h with 2–4 people. Stack: Python + OCR + LLM + Postgres.
Why it wins: Protects real money with explainable flags.
Build flow
01 · Problem
Small businesses lose money to duplicate invoices and fake bank-detail changes.
02 · Solution
Ingest invoices, compare against vendor history, and flag risky ones with a plain reason.
03 · Build
- 1Extract invoice fields
- 2Vendor + bank history store
- 3Rules + similarity checks
- 4Review queue UI
04 · Demo
Upload 10 invoices → 2 flagged: “bank account changed” and “duplicate invoice”.
MVP checklist
- Invoice ingest
- Vendor history check
- Duplicate detection
- Explained risk flags
Tech stack
| Tech | Role | |
|---|---|---|
| Python | Backend / scripting | Backend |
| OCR | Text from images | AI |
| LLM | Language model | AI |
| Postgres | Relational database | Data |
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