🏠 Real Estate Valuation API (CSV-based)

Small FastAPI backend that evaluates an apartment's asking price using recent comparable sales and long-term trends.
Data source (for now): a local CSV at data/transactions.csv (synthetic/dev).

✨ What it does

• Filters comparable sales in the same city + neighborhood, exact rooms, and ±8% size tolerance.
• Computes a fair price per sqm from the last 2 years and classifies asking price as cheap / fair / expensive with a ±4% band.
• Returns recent KPIs (avg/min/max), long-term bucketed means (~2-year windows across ~10 years), and sales volume of the last 5 years.

🗂 Project layout

🧰 Prerequisites

• Python 3.10+ (tested on macOS)
• CSV at data/transactions.csv (already provided)

📦 Install

python3 -m pip install -r requirements.txt