The increasing mobility of students and working professionals has led to a growing demand for effective housing solutions, particularly paying guest accommodations. The surge in online searches for PG accommodations has rapidly intensified, rendering the process time-consuming due to the abundance of available information on the Internet. The escalating significance of recommender systems (RSs) lies in their role in decision-making and furnishing comprehensive information about the requisite product or service. In response to this demand, our system aims to streamline the accommodation discovery process by offering a personalized and user-centric recommendation approach. This paper introduces a sophisticated paying guest (PG) accommodation recommendation system designed to meet the unique housing needs of students, working professionals, and individuals seeking personalized living spaces. As the demand for flexible and tailored housing solutions continues to rise, our hybrid recommendation system addresses this challenge by seamlessly integrating content-based and collaborative filtering techniques. By focusing on comprehensive user preferences, the system delivers top-N accommodation suggestions that align with individual requirements and preferences.