Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The Roommate Matching System is a web-based application that helps people find suitable roommates based on their preferences and lifestyle. Many people face problems while finding roommates using social media or ads because of mismatched habits and lack of trust. This system allows users to register, create profiles, and search for rooms and roommates easily. It compares user preferences like food habits, lifestyle, and location to suggest compatible matches. The system is built using modern technologies like HTML, CSS, JavaScript, Node.js, and MongoDB. The results show that the system works properly and provides accurate and reliable roommate suggestions.
Keywords:
Roommate Matching, Web Application, Preferences-Based Matching, Node.js, MongoDB, Room Search System
Cite Article:
"A Web-Based Roommate Matching System Using Preference-Based Matching", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b1-b5, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604132.pdf
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00045
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator