A synthetic dataset of 1000 used vehicles is generated by combining age, mileage, brand segment, and condition. Each factor affects the price using weighted rules similar to real used‑car markets.

The model learns typical prices for each combination and then estimates your vehicle’s price range with confidence, along with suggestions to improve resale value.