Smart Personal Image and Video Organiser

Smart Personal Image and Video Organizer is a cutting-edge solution designed to enhance the way users manage their digital media collections through intelligent automation and real-time organization. The system leverages advanced machine learning algorithms and real-time data processing to automatically categorize, tag, and retrieve personal images and videos with exceptional accuracy and speed. By integrating AI-based recognition technologies, such as facial detection, object recognition,and contextual tagging, it simplifies media management and reduces the manual effort traditionally required. Using cloud computing and secure decentralized storage solutions, the system continuously analyzes and organizes uploaded media files, ensuring that users' data remains accessible, private, and tamper-proof. It features smart categorization, dynamic search capabilities, and personalized media recommendations, allowing users to find and manage their photos and videos effortlessly across devices. Through an intuitive web and mobile interface, users can upload, search, and organize their media in real time. The platform provides intelligent suggestions for album creation, highlights meaningful moments, and even generates automatic collages or video reels based on user preferences. Integrated security measures such as encrypted storage and authentication mechanisms safeguard personal memories against unauthorized access.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-14
DOI
https://doi.org/10.5281/zenodo.15409229
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Personal Image and Video Organiser

Zenodo (CERN European Organization for Nuclear Research)
Face recognition and analysis
article

Smart Personal Image and Video Organiser

article en

Abstract

Smart Personal Image and Video Organizer is a cutting-edge solution designed to enhance the way users manage their digital media collections through intelligent automation and real-time organization. The system leverages advanced machine learning algorithms and real-time data processing to automatically categorize, tag, and retrieve personal images and videos with exceptional accuracy and speed. By integrating AI-based recognition technologies, such as facial detection, object recognition,and contextual tagging, it simplifies media management and reduces the manual effort traditionally required. Using cloud computing and secure decentralized storage solutions, the system continuously analyzes and organizes uploaded media files, ensuring that users' data remains accessible, private, and tamper-proof. It features smart categorization, dynamic search capabilities, and personalized media recommendations, allowing users to find and manage their photos and videos effortlessly across devices. Through an intuitive web and mobile interface, users can upload, search, and organize their media in real time. The platform provides intelligent suggestions for album creation, highlights meaningful moments, and even generates automatic collages or video reels based on user preferences. Integrated security measures such as encrypted storage and authentication mechanisms safeguard personal memories against unauthorized access.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Face recognition and analysis
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