Build a Python recommendation engine for your Fintech app 💳

Day 70 of my #100DaysOfCloud journey! Today I focused on the business side of engineering: Monetization.

I wanted my React dashboard to show tailored financial offers (like high-yield accounts or cheap transfer apps) based on the user's actual spending habits.

The Backend Logic (Python + AWS Lambda):
Instead of random ads, I built a smart router. It calculates the user's projected surplus and injects a specific JSON offer.

Python
def generate_financial_offers(fin_score, surplus):
offers = []

# Investor Profile
if surplus > 1000 and fin_score >= 70:
    offers.append({
        "title": "Make your surplus work for you",
        "description": f"You have ~{surplus}€ uninvested. Earn 4% APY.",
        "cta_text": "Explore Brokers"
    })
# High-Burn Profile
elif surplus < 200:
    offers.append({
        "title": "Lower your banking fees",
        "description": "Stop bleeding money on transfers.",
        "cta_text": "Open Zero-Fee Account"
    })

return offers

Why this matters:
This is the Adapter Pattern. Right now, the offers are hardcoded mocks. But the frontend doesn't know that. When I get approved for real Fintech Affiliate APIs, I will just swap out this Python function to fetch live data, and the React UI won't need a single line of code changed.

Decoupling your business logic from your UI is key! 🚀