House_price_prediction

The project "House Price Prediction using Flask" involves deploying a machine learning model for predicting house prices through a web application built with Flask. The project utilizes Python for developing the machine learning model and backend logic, while Flask serves as the web framework to create the application and API for interacting with the model. The development process includes data preparation, model training, Flask integration, frontend design, and deployment on a server to make the application accessible online. This project showcases the practical application of machine learning in predicting house prices and demonstrates how Flask can be effectively used to deploy predictive models through user-friendly web applications.