Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49821
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â This paper examines ASKQUESTIONS!, a real-time audience engagement platform employing multimodal Artificial Intelligence (AI) to optimize question management in conferences and events. The system allows attendees to submit questions via QR codes, eliminating app installations, and uses AI to filter and prioritize these questions based on relevance, tone, clarity, and crowd-sourced feedback like upvotes. Core technologies include React for interactive UIs, Node.js with Express for backend API, and BERT-based AI microservices for question analysis. Compared to traditional Q&A methods, ASKQUESTIONS! offers enhanced inclusivity, efficient question handling, and comprehensive session management tools for organizers. Evaluations demonstrate the platformâs ability to streamline question curation, improve audience engagement, and provide valuable analytics. The integration of AI in ASKQUESTIONS! significantly enhances the event experience by ensuring that the most pertinent and representative questions are addressed, making interactions more meaningful and efficient for both speakers and attendees.
KEYWORDS
Publication Date
6/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...