 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Sekilas News: A Lightweight and Scalable Web-Based News Aggregation and Summarization Platform |
| Authors Name: | Bhavishya Kumar , Omkar Rakshe , Govind Burhan , Shaikh Soeb Ali , Yatinkumar Shukla |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_207629
|
| Published Paper Id: | IJRTI2511122 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Users find it difficult to effectively consume and comprehend information due to the information overload caused by the exponential growth of digital news sources. Sekilas News, a cutting-edge web-based news aggregation and summarization platform that unifies several disparate sources, is presented in this paper. The system, which was developed with Next.js, TypeScript, and Python-based scraping tools, uses a responsive user interface to normalize, summarize, and present news. The suggested framework shows how multi-source news aggregation can be done with scalable, lightweight technologies that are still extensible and easy to use. The Automated News Distribution System is a real-time news aggregation platform designed to simplify information discovery, improve content curation, and provide summarized news in an interactive format. First it gets trending keyword from any trends site such as google trends , Twitter or reddit and then through that keyword , top website are scraped from google news section about such trending site . Next.js is used to get a reddit/twitter like User Interface for quick display and summarization of news .Next.js API routes for backend which manages data processing . Its like a latest trend catcher and gives quick summarization . Beautiful soup is used for Scraping and Python text processing for summarization . Scalability is guaranteed by cloud deployment with Firebase or Heroku, and user authentication is safeguarded by JWT. Ac- cording to preliminary testing, the platform reduces information overload by up to 60% when compared to manual browsing and achieves an 85% user satisfaction rate. Additionally, it tackles issues with dynamic content and strikes a balance between automated summarisation and accuracy. Future advancements of this application will include multilingual sources according to user , enhancing summarisation through optimised LLM models, and incorporating sentiment analysis to detect bias and gain public reviews. By combining AI with real-time data, this system transforms digital news aggregation and makes it more intelligent, user-friendly, and community-driven. It can be combined with Ai and real time data to get advance system aggregation of news . |
| Keywords: | News Aggregation, Summarization, Information Retrieval, Web Systems, Next.js |
| Cite Article: | "Sekilas News: A Lightweight and Scalable Web-Based News Aggregation and Summarization Platform", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b167-b170, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511122.pdf |
| Downloads: | 000218 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2511122
Registration ID:207629
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b167-b170 Country: Vadodara, Gujarat, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511122 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511122 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||