Abstract: Educational content creation is evolving, with Generative AI leading a transformative approach to learning resources. Traditional methods of producing educational audio and visual materials often involve high costs, extended production times, and limited customization options. This paper, therefore, presents a unique solution that integrates GEN AI to automate high-quality audio and image generation for educational podcasts. By utilizing advanced AI techniques, this approach not only streamlines production but also enhances accessibility and engagement. An in-depth analysis of the system architecture and model selection offers a framework for creating educational podcasts that are both efficient and impactful, addressing the challenges of conventional content delivery.

Keywords: Generative Artificial Intelligence (GenAI), Natural Language Processing (NLP), Machine Learning (ML), Text-to-Speech Synthesis (TTS), Visual Generation, Podcasting, Education Technology, Audio-Visual Production

| DOI: 10.17148/IARJSET.2024.111022