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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48133

Dynamic ML: A Novel Automated Machine Learning Tool for Streamlined Model Development

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48133

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48133

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

IC

Ishita Chincholkar

SR

Siddhesh Rahane

AK

Atharva Kawale

SJ

Sudarshan Jadhav

PVH

Prof. Vaishali Hiray

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Abstract

In the quickly developing field of AI, effectiveness and convenience are urgent for engineers trying to bridle progressed calculations without the intricacies of manual coding. This venture presents DynamicML: A Mechanized Designer’s AI Instrument for Continuous Dataset Transformation and Preparing, a cutting edge arrangement intended to upgrade AI work processes through unique variation and robotization. DynamicML use dynamic AI strategies and ongoing dataset age to smooth out the advancement cycle. It mechanizes the making of dynamic datasets and the preparation and testing of models, taking out the requirement for monotonous coding errands. By incorporating versatile AI with consistently advancing information, DynamicML improves on model turn of events and speeds up the streamlining cycle. Including an instinctive connection point, DynamicML permits engineers to collaborate with the framework easily, zeroing in on undeniable level plan and application as opposed to on coding. This robotization of dataset the board and model preparation altogether lessens time-to-sending and lifts generally efficiency. DynamicML addresses a huge headway in AI toolsets, offering a powerful answer for ongoing information dealing with and computerized model preparation in a smoothed out, sans code climate.

KEYWORDS

AI Computerized Apparatus Ongoing Information Transformation Dynamic Datasets Model Preparation Without code Advancement Dynamic AI Dataset Robotization.

Cite This Article

Ishita Chincholkar, Siddhesh Rahane, Atharva Kawale, Sudarshan Jadhav, Prof. Vaishali Hiray, "Dynamic ML: A Novel Automated Machine Learning Tool for Streamlined Model Development," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48133

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Publication Date

5/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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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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