Find My Hostel

Authors: Y.D. Kharat, Rudra Mahesh Thakare, Sahil Kishor Suryawanshi, Sagar Vasant Ahire, Chetan Devidas Gaikwad

Country: India

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Abstract: In today's rapidly evolving educational landscape, the well-being and satisfaction of students are paramount. One critical aspect of student life is finding suitable hostel accommodations and facilities. This research paper introduces a novel approach to address this challenge through the development of a content-based hostel and recommendation system. Leveraging advanced data analytics, machine learning techniques, and user profiling, this system aims to provide personalized, data-driven recommendations to students based on their unique preferences and requirements. The proposed content-based recommendation algorithm analyses rich datasets encompassing textual descriptions, amenities, location, pricing, meal options, dietary preferences, and user feedback. It then calculates relevance scores for hostels and facilities, offering tailored suggestions that enhance the overall student experience. The system also incorporates mechanisms for continuous learning and feedback integration to refine recommendations over time. Ultimately, this research contributes to the broader discourse on the intersection of technology, education, and student satisfaction. By enhancing the hostel and selection process, educational institutions can significantly improve student wellbeing, retention rates, and overall academic success.

Keywords: Content-Based Filtering, Educational Technology, Hostel Recommendation, Mess Recommendation, Machine Learning, Personalization, Student Satisfaction, Scalability

Paper Id: 230567

Published On: 2024-04-14

Published In: Volume 12, Issue 2, March-April 2024

Cite This: Find My Hostel - Y.D. Kharat, Rudra Mahesh Thakare, Sahil Kishor Suryawanshi, Sagar Vasant Ahire, Chetan Devidas Gaikwad - IJIRMPS Volume 12, Issue 2, March-April 2024.

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