House price prediction is model which predicts the price of the house. The application utilizes a linear regression model trained on California housing data. The model takes into account various features, such as median income, house age, and other relevant factors to predict house prices accurately. The model was trained using the scikit-learn library, ensuring high accuracy and efficiency.