 |
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: April 2026
Volume 11 | Issue 4
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 : 119
Article Submitted : 23424
Article Published : 9054
Total Authors : 24024
Total Reviewer : 831
Total Countries : 162
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Improvement in Air Quality Index (AQI) using Machine Learning |
| Authors Name: | Abhinav Singh , Aditya Chaudhary |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_210612
|
| Published Paper Id: | IJRTI2603127 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | Air pollution is one of the major environmental issues that affect the health and well-being of people living in cities around the world. For this purpose, it is important that the Air Quality Index (AQI) is predicted with maximum accuracy. This research aims to propose a system for the prediction of the Air Quality Index using machine learning algorithms. Various algorithms are used for the prediction of the Air Quality Index. These include the use of the Random Forest algorithm, Support Vector Machine (SVM), Decision Tree, and Linear Regression. The system has been implemented using Python and a web application based on the Django framework. The experimental results show that the use of machine learning algorithms for the prediction of the Air Quality Index is quite effective. |
| Keywords: | Air Quality Index (AQI), Machine Learning, Air Pollution Prediction, Environmental Monitoring, Random Forest, Support Vector Machine |
| Cite Article: | "Improvement in Air Quality Index (AQI) using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b227-b229, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603127.pdf |
| Downloads: | 00088 |
| 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: IJRTI2603127
Registration ID:210612
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: b227-b229 Country: BARABANKI, Uttar Pradesh, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603127 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603127 |
| 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 | |||