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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM39782

Development of Super Memory AI System: A Review

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM39782

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

PRD

Prof. Rupali Dasarwar

MKA

Ms. Kajal Asatkar

MNK

Ms. Nikita Katre

MBB

Ms. Bhageshri Bondre

MYD

Mr. Yash Dugad

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Abstract

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

Content Tagging Flask Framework Search Optimization User Interface Database Management etc.

Cite This Article

Prof. Rupali Dasarwar, Ms. Kajal Asatkar, Ms. Nikita Katre, Ms. Bhageshri Bondre, Mr. Yash Dugad, "Development of Super Memory AI System: A Review," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024.

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Publication Date

12/14/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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