Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47726
Volume:
9 |
5 |
May 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.
Castella is a pioneering web-based system designed to enhance the podcast-sharing experience through voice-enabled interactions. The system addresses significant shortcomings of traditional podcast services, such as limited accessibility and the lack of natural navigation, by utilizing voice recognition technology that allows users to search, play, and navigate podcast content using simple voice commands. This functionality greatly improves usability for individuals with visual impairments or limited technical expertise. Castella supports podcast producers with an intuitive interface to upload, tag, and organize audio content, fostering a shared and open content environment. Built on the MERN (MongoDB, Express.js, React, Node.js) stack, the platform features a scalable backend for effective data management and a responsive frontend for seamless performance across various devices. The integration of hands-free voice interaction not only boosts user engagement but also aligns with current accessibility standards in web app development. Castella exemplifies how new technologies can be leveraged to create inclusive, community-focused digital platforms for content sharing and discovery.
KEYWORDS
Publication Date
5/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
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...