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Volume: 12 Issue 06 June 2026
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Ai-synthesised Solo Podcast Platform For Knowledge Enhancement
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Author(s):
Prof. Smita Dashpute | Saumya Yadav | Dhwani Tiwari | Reecha K. Vasan
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Keywords:
AI-Driven Content Creation, Asynchronous Web Frameworks, Edge-TTS, FastAPI, Groq Llama 3, Hotwire Turbo, Natural Language Processing (NLP), Neural Speech Synthesis, Persistent UI, Razorpay Integration, Solo Creator Economy, Text- To-Speech (TTS).
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Abstract:
Digital Content Creation Has Seen A Massive Surge, Yet Solo Creators Often Face Technical Hurdles In Scriptwriting And Professional Audio Production. This Paper Presents 'Podcastr', An Innovative Platform Designed To Automate The End-to-end Podcasting Lifecycle. Unlike Traditional Systems That Rely On Manual Recording, Our Proposed System Integrates The Groq LPU (Language Processing Unit) For Near-instant Script Generation Using The Llama 3 Model. For Audio Synthesis, We Utilize The Microsoft Edge TTS Engine To Deliver Human-like Neural Voices, Eliminating The Need For Expensive Studio Equipment. The Backend Is Architected Using FastAPI To Ensure Asynchronous Processing Of AI Tasks, While Hotwire Turbo Is Implemented To Maintain Persistent Audio Playback During Site Navigation. Our Results Demonstrate A Significant Reduction In Production Time—from Hours To Mere Seconds—making Professional Podcasting Accessible To Individual Knowledge-sharers.
Other Details
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Paper id:
IJSARTV12I4104991
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Published in:
Volume: 12 Issue: 4 April 2026
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Publication Date:
2026-04-14
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