Vehicle-Valuation-Hub

Developed a web-based Vehicle Valuation Hub predicting market prices for used cars. Uses ML models analyzing make, model, year, mileage, and fuel type for precise estimations.

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What this project does?

• This project takes the parameters of an used car like: Company name, Model name, Year of Purchase, Fuel Type and Number of Kilometers it has been driven.
• It then predicts the possible price of the car. For example, the image below shows the predicted price of our Hyundai Grand i10.

Diamond-Price-Predictor

This project aims to develop a scalable and consistent pricing system using advanced machine learning models. By automating the valuation process, I seek to revolutionize the diamond industry, which is traditionally dependent on subjective and time-intensive manual appraisals.

In the diamond industry, pricing traditionally relies on human expertise, leading to inconsistencies and inefficiencies. This project leverages machine learning to provide a data- driven solution, ensuring consistent and objective pricing.