Advanced Multimodal Podcast Orchestration Framework

In today's rapidly evolving digital landscape, podcast creators face significant challenges in content management, accessibility, and audience engagement.Traditional podcasting platforms often lack automation, requiring manual efforts for editing, transcription, and distribution.Additionally, discoverability issues and limited collaboration features hinder creators from reaching wider audiences efficiently.Our project introduces an advanced multimodal podcast orchestration framework, leveraging AI-driven tools and cloud-based automation to streamline podcast production.By integrating modern technologies such as Next.js,React.js,Convex, and OpenAI, our system enhances content management with automated `transcription, AI-powered content summarization, and intelligent recommendations.The platform offers real-time collaboration tools, allowing podcasters and editors to work seamlessly.Secure user authentication is implemented via Clerk, ensuring data integrity and controlled access.Unlike traditional solutions, our system provides a scalable and adaptive infrastructure, enabling smooth performance under high workloads.Through automated editing, voice processing, and intelligent tagging, our framework reduces the manual workload on creators, improving efficiency and content quality.The integration of machine learning models enhances content discoverability, making personalized recommendations based on listener behavior.By providing a unified solution for hosting, organization, and distribution, this system significantly simplifies podcast production.The proposed framework ensures accessibility, multi-device compatibility, and AI-enhanced automation, addressing current limitations in podcast management.Future advancements may include monetization tools, real-time translation, and deeper AI integration to further enhance the ecosystem.By leveraging cutting-edge technologies, this project aims to revolutionize podcasting, empowering creators with tools that optimize workflows, maximize audience reach, and redefine digital audio experiences.

Publication Details

Journal
IJARCCE
Published
2025-05-25
DOI
https://doi.org/10.17148/ijarcce.2025.14580
Primary Topic
Radio, Podcasts, and Digital Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced Multimodal Podcast Orchestration Framework

IJARCCE
Radio, Podcasts, and Digital Media
article

Advanced Multimodal Podcast Orchestration Framework

article en

Abstract

In today's rapidly evolving digital landscape, podcast creators face significant challenges in content management, accessibility, and audience engagement.Traditional podcasting platforms often lack automation, requiring manual efforts for editing, transcription, and distribution.Additionally, discoverability issues and limited collaboration features hinder creators from reaching wider audiences efficiently.Our project introduces an advanced multimodal podcast orchestration framework, leveraging AI-driven tools and cloud-based automation to streamline podcast production.By integrating modern technologies such as Next.js,React.js,Convex, and OpenAI, our system enhances content management with automated `transcription, AI-powered content summarization, and intelligent recommendations.The platform offers real-time collaboration tools, allowing podcasters and editors to work seamlessly.Secure user authentication is implemented via Clerk, ensuring data integrity and controlled access.Unlike traditional solutions, our system provides a scalable and adaptive infrastructure, enabling smooth performance under high workloads.Through automated editing, voice processing, and intelligent tagging, our framework reduces the manual workload on creators, improving efficiency and content quality.The integration of machine learning models enhances content discoverability, making personalized recommendations based on listener behavior.By providing a unified solution for hosting, organization, and distribution, this system significantly simplifies podcast production.The proposed framework ensures accessibility, multi-device compatibility, and AI-enhanced automation, addressing current limitations in podcast management.Future advancements may include monetization tools, real-time translation, and deeper AI integration to further enhance the ecosystem.By leveraging cutting-edge technologies, this project aims to revolutionize podcasting, empowering creators with tools that optimize workflows, maximize audience reach, and redefine digital audio experiences.

IJARCCEVol. 14(5)
Openalex Percentile: Top 87%
Radio, Podcasts, and Digital Media
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