Student Accommodation Finder

Abstract

Finding suitable housing is a major challenge for students moving to new cities for education or internships. Traditional housing platforms often lack personalization and fail to meet the unique needs of students, such as budget constraints, location preferences, and roommate compatibility. This mini project presents a Personalized Student Housing Recommendation System designed to simplify the housing search process for students.
The system allows students to register, specify their preferences (such as location, budget, amenities, and room type), and receive AI-generated housing recommendations tailored to their needs. Using a content-based filtering approach with cosine similarity, the system matches student preferences with available listings to produce a ranked list of suitable properties. Property owners can register and post their listings with details and images, making them visible to interested students.
By integrating intelligent recommendation algorithms and a user-friendly interface, this project aims to offer a smart, scalable, and student-focused solution for finding safe and affordable accommodation.