ABSTRACT
This research proposes a data science-driven approach to speed up the selection of student housing near Lovely Professional University (LPU), an Indian university. We compare the prices of off-campus dorms, independent homes, and guest houses that need payment. Unlike standard applications, our paradigm is customized for each learner. The algorithm assesses and recommends the best option based on factors like amenities, location, and cost using data science techniques. We close the gap in student-focused housing options and demonstrate feasibility with publicly available statistics and industry expert validation. By giving students reliable pricing comparisons, this study facilitates their housing search and makes it easy for them to make an informed decision.
