Year: 2025
Type: article
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.
Source: IJARCCE
Language: English
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410740298