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Retrievix: An AI-Based Platform for Finding and Returning Lost Items

Year: 2026

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20258525

Authors: Ambi, Swati, Bagade, Soham, Badger, Shridhar, Dakare, Swayam, Patil, ketan, Ghatage, Satyajit

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7161494415

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