Abstract
Navigating the vast landscape of podcasts can be a daunting task, often resulting in information overload for enthusiasts. Traditional formats often fall short in addressing individual preferences, leaving listeners seeking a more personalized and engaging experience. Recognizing this challenge, our mission is to provide listeners with a uniquely tailored exploration of the podcast world, ensuring a more enjoyable and user-centric experience.
Our AI-driven podcast allows users to wield a higher impact on the content they consume. Now, listeners can actively shape their podcasting journey by selecting topics of interest and enjoying a dynamic exploration of cloned voices—remarkably realistic replicas of real individuals. This interactive and personalized approach ensures that each episode is not just informative but also a delightful experience tailored to the diverse preferences of our audience.
To consider this project a success we will need to fulfill most, but ideally all core requirements and achieve some main goals, including utilising AI tools to generate text, audio and video for the episodes, as well as provide users with a feature to suggest a topic and get an episode in return.
Demonstration Video
Team
The team responsible for the creation and development of AI Podcast.

Sittivit Bunlungsak (Ken)
2nd year Computer Science student at UCLRole: Team leader, Backend Developer
Email: ken.bunlungsak.22@ucl.ac.uk

Kang Shen
2nd year Computer Science student at UCLRole: Full Stack Developer
Email: kang.shen.22@ucl.ac.uk

Kirill Kamakaev
2nd year Computer Science student at UCLRole: Backend Developer, Researcher
Email: kirill.kamakaev.22@ucl.ac.uk