SmartStay: Tailored Student Housing Recommendations

The process of finding suitable housing is a significant challenge for many college students due to the overwhelming need to navigate through numerous options, compare amenities, and ensure affordability. This paper presents SmartStay, an innovative platform designed to streamline the process of finding tailored housing options for students. By leveraging machine learning technologies, SmartStay provides personalized housing recommendations based on individual user preferences, location, budget, and housing type. The system utilizes a sophisticated Predict and Recommend pipeline implemented using Python to analyze user inputs and deliver accurate housing suggestions along with predicted price ranges. The pipeline incorporates various stages, including data collection, preprocessing, feature extraction, recommendation engines, price prediction models, and interactive visualization. SmartStay aims to transform the housing search experience into a seamless and enjoyable journey by integrating advanced algorithms and ensuring accurate and tailored recommendations for students