Demonstrates effective item recovery in institutions using an AI-based platform, suggesting improved user experience.
Retrievix is an AI-based lost and found platform designed to improve the process of identifying and recovering misplaced items. The system uses the CLIP model for multi-modal semantic matching between images and textual descriptions, enabling more accurate retrieval compared to traditional keyword-based methods. The platform integrates secure authentication, smart match suggestions, vector similarity search using FAISS, and real-time communication features to provide an efficient and user-friendly recovery system for institutions and public environments.
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Ambi et al. (2026) studied this question.
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