• Riya Ameta
• Rinku Kunwar Rao
• Priyansh Saxena

This research paper presents an automated system for validating new title submissions using advanced similarity detection techniques. The system integrates phonetic, string-based, and semantic similarity algorithms to evaluate new titles against a database of existing ones. Additionally, it enforces strict guidelines to reject titles with disallowed prefixes, suffixes, or words, and prevents the creation of titles by combining existing ones or adding periodicity terms. Implemented using Python and Django, the system provides real-time feedback to users, ensuring faster and more accurate title validation. The proposed solution is scalable, efficient, and suitable for industries like publishing, media, and academia

Title verification, similarity detection, phonetic matching, fuzzy logic, TF-IDF, Django, multilingual translation.

"AUTOMATED TITLE VERIFICATION SYSTEM USING SIMILARITY DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.424-428, June-2025, Available :http://www.jetir.org/papers/JETIRGW06070.pdf

"AUTOMATED TITLE VERIFICATION SYSTEM USING SIMILARITY DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp424-428, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06070.pdf