This project demonstrates an end-to-end Machine Learning pipeline that predicts mobile phone price ranges using traditional ML models. The workflow includes data preprocessing, training a Random Forest Classifier on **AWS SageMaker**, deploying the model as an endpoint, and running live predictions.