Predictive Real Estate Pricing

This predictive pricing tool is the culmination of an extensive process involving data scraping from real estate listings, thorough data cleaning to ensure accuracy, preprocessing to structure the data for machine learning, and finally, the training of a predictive model to estimate real estate prices based on various input parameters. Our aim is to provide users with an easy-to-use interface to predict the end price of a property, leveraging advanced machine learning techniques.

This predictive model serves primarily as a proof of concept, showcasing the potential of machine learning in real estate price prediction. It's important to note that the model was trained on a relatively small dataset, primarily focusing on properties within Gothenburg and its surrounding areas. As such, while it offers insightful forecasts, it's best viewed as an educational tool and a stepping stone for further, more extensive model development.