In colleges, hostels, offices, and public spaces, people frequently lose personal belongings such as ID cards, mobile phones, earphones, books, wallets, and other valuable items. Currently, lost-and-found information is often shared through WhatsApp groups, notice boards, or manual registers, making it difficult and time-consuming to identify the actual owner of a found item. There is no intelligent system that can automatically compare lost and found reports based on **images, item descriptions, location, date, and other characteristics**. Therefore, there is a need for an **AI-powered Lost & Found Matching System** that automatically analyzes reported lost and found items, identifies potential matches, provides a confidence score, and helps users securely verify ownership and recover their belongings.
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