Real estate price pridiction

This study proposes a real estate price prediction system using linear regression and a notification alert chatbot. The system utilizes a dataset containing relevant features, such as location, size, and age of the property, to train a linear regression model. The trained model can then be used to predict the prices of similar properties. The notification alert chatbot is integrated into the system to provide users with real-time updates on property prices. The chatbot system sends notifications to users based on their preferences, such as location and budget. The proposed system aims to assist users in making informed decisions when purchasing or selling real estate properties by providing accurate predictions and timely notifications. The effectiveness of the system is evaluated using various metrics, such as mean squared error and accuracy, and is found to perform well in predicting real estate prices.