International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI-Powered Domain Recommendation System |
|---|---|
| ABSTRACT | Selecting an appropriate domain name and domain registrar is a critical yet complex task for individuals and organizations aiming to establish an online presence. Users often face difficulties due to fluctuating prices, hidden renewal charges, limited knowledge of domain trends, and lack of technical guidance. This project proposes an AI-Based Intelligent Domain Recommendation System that analyzes user requirements, budget constraints, business category, and historical pricing trends to suggest suitable domain names and registrars. The system uses machine learning and rule-based intelligence to provide transparent, cost-effective, and long-term domain recommendations. By integrating real-time analysis and user preference modeling, the system assists users in making informed decisions while minimizing future expenses and improving brand relevance. In addition to domain generation, the system integrates registrar comparison capabilities, addressing the common issue of price variability across providers. It evaluates real-time and historical pricing data, renewal patterns, discounts, and registrar credibility to compute an objective deal score, ensuring users can identify the most cost-effective and reliable purchasing options. |
| AUTHOR | DR. SRINIVASA B R, AADITYA A MONE, SANDESH GOWDA M N, HITHASHREE B K Professor, Dept. of Computer Science & Design, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India UG Student, Dept. of Computer Science & Design, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312102 |
| pdf/102_AI-Powered Domain Recommendation System.pdf | |
| KEYWORDS | |
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