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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM44984

AUDIOMIND: AI SaaS Podcast Platform

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Paper ID:

10.55041/IJSREM44984

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10.55041/IJSREM44984

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.

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Authors

AK

Aryan Koli

GK

Gaurav Kumbhar

CG

Chaitanya Gosavi

AK

Ankit Kadam

PNP

Prof. Nileema Pathak

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Abstract

The podcasting industry has experienced exponential growth, with millions of active podcasts and billions of listeners worldwide. However, podcasters face significant challenges, including time-consuming content production, discoverability limitations, and ineffective monetization strategies. This paper presents AUDIOMIND, an AI-powered SaaS platform designed to automate key podcasting tasks such as transcription, editing, recommendation, and revenue optimization. By leveraging artificial intelligence and cloud computing, AUDIOMIND aims to reduce production overhead, enhance audience reach, and maximize monetization potential. The paper outlines the system architecture, core technologies, and implementation methodology, demonstrating how AI can revolutionize the podcasting ecosystem.

KEYWORDS

Podcasting AI SaaS content automation natural language processing machine learning monetization recommendation systems.

Cite This Article

Aryan Koli, Gaurav Kumbhar, Chaitanya Gosavi, Ankit Kadam, Prof. Nileema Pathak, "AUDIOMIND: AI SaaS Podcast Platform," International Journal of Scientific Research in Engineering and Management, Apr 2025. https://doi.org/10.55041/IJSREM44984

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Publication Date

4/20/2025

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