UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 6
June-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

Unique Identifier

Published Paper ID:
JETIR2306A09


Registration ID:
520486

Page Number

k78-k87

Share This Article


Jetir RMS

Title

Automated Article Summarization using Artificial Intelligence Using React JS and Generative AI

Abstract

Automated Article Summarization using Artificial Intelligence (AI) has gained significant attention in recent years due to the increasing volume of online content. This research paper presents a novel approach that combines React JS, a popular JavaScript library for building user interfaces, with Generative AI techniques to automate the process of article summarization. The integration of React JS provides an intuitive and interactive platform for users to input articles and receive concise summaries in real-time. Generative AI models, such as neural networks and deep learning architectures, are employed to extract salient information and generate coherent summaries that capture the essence of the original articles. The paper discusses the technical implementation of the system, including data preprocessing, model training, and real-time summarization generation. Additionally, the evaluation metrics used to assess the quality and accuracy of the generated summaries are presented. The proposed system offers several advantages, including improved user experience, faster summarization process, and enhanced accessibility to information. The integration of React JS with Generative AI enables seamless interaction between users and the summarization system, allowing for efficient extraction of key content from articles across various domains. However, the paper also acknowledges the challenges associated with this approach, such as the potential limitations of Generative AI models in capturing nuanced contextual information and the need for continuous model training to adapt to evolving text patterns. Future research directions are discussed, including exploring hybrid approaches that combine extractive and generative techniques and investigating the integration of multi-modal inputs for more comprehensive summarization. In conclusion, this research paper presents an innovative system that combines React JS and Generative AI for automated article summarization, demonstrating its potential to revolutionize information processing and accessibility in the digital era.

Key Words

React JS, Generative AI, Neural Networks, Deep Learning.

Cite This Article

"Automated Article Summarization using Artificial Intelligence Using React JS and Generative AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.k78-k87, June-2023, Available :http://www.jetir.org/papers/JETIR2306A09.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

"Automated Article Summarization using Artificial Intelligence Using React JS and Generative AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppk78-k87, June-2023, Available at : http://www.jetir.org/papers/JETIR2306A09.pdf

Publication Details

Published Paper ID: JETIR2306A09
Registration ID: 520486
Published In: Volume 10 | Issue 6 | Year June-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34992
Page No: k78-k87
Country: Durgapur, West Bengal, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000262

Print This Page

Current Call For Paper

Jetir RMS