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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM39782
Volume:
8 |
12 |
Dec 2024
Pages:
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.
SuperMemory.Ai is a content organization and retrieval system built with Flask, designed to simplify managing and accessing diverse digital content, including text, images, and videos. It addresses the need for efficient content retrieval by allowing users to upload items with specific tags and quickly search for related material, overcoming the limitations of traditional file management systems. The project’s motivation lies in the growing challenge of handling large digital volumes and providing accurate, user-friendly search experiences. The system architecture includes a modern front-end interface, a Flask-based back-end server, and a powerful search function. The front-end offers a seamless user experience, while the back-end supports content storage, tagging, and search processing. Tagging is central to SuperMemory.Ai, enabling users to categorize content effectively and retrieve precise results quickly. This platform bridges the gap between complex digital organization needs and intuitive, rapid access to information.
KEYWORDS
Publication Date
12/14/2024
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.
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