AI-powered platform to Simplify Podcast Creation

We have developed an AI-powered podcast platform designed to elevate audio experiences. With advanced features like automatic transcription, episodes can be effortlessly transformed into searchable text, making content more accessible.

Industry: Podcasting / Media & Entertainment

Country: UAE

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5,000 Podcasts

Uploaded Within Launch Month

2000+

Podcasters registered in 3 months

1500+

Active users per month

Project Overview

Develop a user-friendly podcast platform for creating, uploading, and sharing their own podcasts. The client's vision was to create a user-friendly space where individuals could easily produce and distribute audio content. The app's features included a built-in recording studio, editing tools, and a library of pre-recorded sounds and music. Additionally, users could discover and listen to podcasts from other creators within the app's community.

Project Hurdles

The podcast platform with AI capabilities presented several significant challenges. One major hurdle was creating an integrated system that enabled podcasters to easily access in-app libraries and tools for podcast creation and enhancement.

Another challenge was developing a content management system that allowed users to upload, edit, and distribute their content while also incorporating monetization options and navigating the complexities of copyright and licensing regulations for music and content. Additional challenges included:

project-challenges
  • Creating a seamless user experience for both recording and editing.
  • Implementing a flexible advertising program
  • Leveraging AI for transcription and noise cancellation.
  • Finding a way to provide users with a high-quality audio library without incurring costs.
  • Ensuring that users felt comfortable navigating and utilizing the platform's features

Solution

We developed a podcast platform that allowed users to edit podcasts. Our team used AWS Lambda for transcription generation, summary generation, and removing background noise. The backend was coded with Java and the frontend with ReactJS.

  • Users can edit podcasts with features like noise removal powered by AI and transcription generation.
  • A vast library of podcasts within the app to create, edit, and upload podcasts.
  • Leveraged AWS Lambda for efficient transcription generation, summary generation, and background noise removal.
  • Java for the backend and ReactJS for the frontend, ensuring a stable and user-friendly platform.

BRILWORKS' SUCCESS BLUEPRINT: A DETAILED PROJECT CASE STUDY

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