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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68554
Volume:
10 |
10 |
Oct 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AIML
Zeal Polytechnic, Pune
AIML
Zeal Polytechnic, Pune
AIML
Zeal Polytechnic, Pune
AIML
Zeal Polytechnic, Pune
AIML
Zeal Polytechnic, Pune
Losing personal belongings is a common problem in educational institutions, railway stations, shopping centres, offices, hospitals, and other public places. Traditional lost-and-found systems generally depend on manual reporting, physical registers, notice boards, or social media posts. These methods often make it difficult to identify matching items, especially when the number of reports increases. Differences in descriptions, missing photographs, delayed communication, and limited search facilities can further reduce the chances of recovering lost belongings. This research paper proposes an AI-Powered Lost and Found Platform that uses artificial intelligence, machine learning, natural language processing, computer vision, and similarity-based retrieval to improve the process of locating lost items. The proposed system allows users to submit lost-item and found-item reports containing text descriptions, images, approximate locations, and dates. The platform processes the information and identifies potentially related reports by comparing visual features, semantic text representations, and contextual information
KEYWORDS
The AI-Powered Lost and Found Platform combines NLP and computer vision to identify potential matches between lost and found items. It aims to simplify item recovery through automated matching, notifications, and secure ownership verification. Future improvements will focus on accuracy, multilingual support, scalability, and privacy protection.
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Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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