 |
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 : 21545
Article Published : 8519
Total Authors : 22414
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: | Troubleshooting Website for Technical Devices Using Community-Based Interaction and AI Integration |
| Authors Name: | Nagesh Vishvakarma , Prathmesh Pathankar , Harshal Sewatkar , Raj Kuthe , Atharv Netankar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_209002
|
| Published Paper Id: | IJRTI2601125 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | |
| Abstract: | Abstract—In the rapidly advancing digital world, users face a wide range of technical challenges involving devices such as smartphones, laptops, and computers. While numerous online platforms exist for problem resolution, most of which are either too complex, generalized, or unverified. This study proposes the design and development of a community-based troubleshooting website dedicated to resolving technical issues for beginners. The platform enables users to post queries and receive peer-generated solutions, thereby ensuring clarity, reliability, and user engagement. The proposed system, built with React (JSX + Vite) for the front end and Node.js for the back end, focuses on simplicity and accessibility. In future iterations, the integration of Artificial Intelligence (AI) and Machine Learning (ML) will enable flowchart-based problem-solving and automated diagnostic recommendations. This project aims to reduce the confusion caused by unstructured online data and create a specialized environment for structured technical support. Keywords—Troubleshooting, Community Website, React, Node.js, Artificial Intelligence, Machine Learning, Technical Devices |
| Keywords: | Community platfrom |
| Cite Article: | "Troubleshooting Website for Technical Devices Using Community-Based Interaction and AI Integration", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b200-b201, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601125.pdf |
| Downloads: | 000112 |
| 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: IJRTI2601125
Registration ID:209002
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: b200-b201 Country: Nagpur, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601125 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601125 |
| 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 | |||