UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2303197


Registration ID:
509744

Page Number

b738-b746

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Title

No-code AI: Unlocking the Potential of Automation and Machine Learning

Abstract

No-code AI is a relatively new concept that has emerged in the field of artificial intelligence. It is a way of creating machine learning models without having to write any code. With no-code AI tools, anyone can build and deploy machine learning models using visual interfaces, drag-and-drop tools, and pre-built templates. The use of no-code AI has democratized the access to AI technology, making it accessible to non-technical users who do not have programming skills. This has opened up new possibilities for businesses and individuals to use AI to solve real-world problems and automate repetitive tasks. One of the main advantages of no-code AI is its speed and ease of use. Without the need to write code, users can quickly prototype and iterate on machine learning models, making the development process more efficient. Additionally, no-code AI tools often include pre-built integrations with popular data sources, making it easy to import and analyse data. However, no-code AI also has some limitations. For example, it may not be suitable for complex machine learning problems or for applications that require a high degree of customization. Additionally, users may still need to have some understanding of machine learning concepts and best practices in order to build effective models. Overall, no-code AI represents a significant advancement in the field of AI, allowing more people to leverage the power of machine learning to drive innovation and improve their workflows.

Key Words

No-code AI, Machine learning, Visual interfaces, Drag-and-drop tools, pre-built templates Democratization of AI, Automation, Prototyping Efficiency Data analysis, Customization, Best practices, Machine learning concepts, Innovation, Workflow improvement.

Cite This Article

"No-code AI: Unlocking the Potential of Automation and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.b738-b746, March-2023, Available :http://www.jetir.org/papers/JETIR2303197.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"No-code AI: Unlocking the Potential of Automation and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppb738-b746, March-2023, Available at : http://www.jetir.org/papers/JETIR2303197.pdf

Publication Details

Published Paper ID: JETIR2303197
Registration ID: 509744
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: b738-b746
Country: PALAKKAD, Kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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