 |
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 : 23478
Article Published : 9055
Total Authors : 24029
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: | Generative AI Tools as Enablers for Applications and Website Development Among Non-Programmers: A Practical Study |
| Authors Name: | Akriti Bhanot |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_210249
|
| Published Paper Id: | IJRTI2603017 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | In the past, creating applications and websites usually required programming knowledge. Because of this, many people without technical background found it difficult to build their own digital solutions. Without coding skills, turning an idea into a working application can be challenging. Recent developments in Generative Artificial Intelligence (GenAI) have made it possible for users to create applications and websites using simple natural language instructions instead of writing code from scratch. In this paper we examine how Generative AI tools can help non-programmers create simple applications and websites with very little technical knowledge. With the help of Generative AI users can generate working code, help fix errors, and provide explanations that make programming easier to understand. During the experiments, simple applications and websites were created using AI-assisted coding tools, and most of the generated code worked with only small modifications. The paper presents practical examples using Python programs and simple website development to demonstrate how Generative AI tools support non-programmers in building functional applications and websites. The results suggest that Generative AI makes software development easier and more accessible for people without programming experience. |
| Keywords: | Generative AI, Non-Programmers, Web Development, Application Development, Artificial Intelligence |
| Cite Article: | "Generative AI Tools as Enablers for Applications and Website Development Among Non-Programmers: A Practical Study", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a102-a111, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603017.pdf |
| Downloads: | 000139 |
| 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: IJRTI2603017
Registration ID:210249
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: a102-a111 Country: Gautam Buddh Nagar, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603017 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603017 |
| 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 | |||