Vehicle Valuation Engine

A specialized Multiple Linear Regression (MLR) project focused on the automotive market. This model calculates the fair market value of used cars by analyzing statistical correlations between independent variables.

Key Input Parameters

• Vehicle Metadata: Make, Model, and Year.
• Operational Data: Mileage (KMs driven) and Fuel Type (Petrol/Diesel/Hybrid).
• Local Context: City of registration and color desirability.

Accuracy Note

Leveraging deductive machine learning, this system offers a transparent pricing logic that allows dealers and buyers to see exactly which factors are driving the price up or down.