Project Overview

Objective: To build a simple web app which will give a user an estimate of the value of a car depending on a number of set features which represent the condition of the car.

Purpose: Buying a car is a large investment of money and individuals usually have a difficult time determining if the value of a car is fair. They need a way to be able to measure the value or worth of a car they are interested in buying compared to similar cars according to it's condition. This will help the buyer in budgeting and negotiation.

It can also serve to help sellers to appropriately price their vehicles according to market conditions.

Scope:

1. Scrape the data from Dubai’s platform for trading second-hand products.
2. Build a ML model to predict the price of a car. (Regression model)
3. Deploy the model using a cloud service. (AWS/GCP)
4. Build a web app to be usable by external users.

Project Phases:

1. Data Collection (Web scrapping)
2. Data Analysis
3. Data Modelling
4. Web App Design
5. Cloud Deployment