Download Case Study: AI-Powered Platform to Simplify Podcast Creation

5,000 Podcasts

Uploaded Within Launch Month

2000+

Podcasters registered in 3 months

1500+

Active users per month

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.

Challenges

Building an AI-powered podcast platform faced significant challenges that aimed to create a seamless environment for podcasters.

Integrated Access: Limited access to tools hindered users’ efficiency in managing projects.
Robust CMS: Complicated content management affected clients' revenue and visibility.
Dynamic Advertising: Inflexible ad programs influenced clients' monetization strategies.
AI Enhancement: Poor transcription and noise cancellation affected audio quality and listener engagement.
Premium Audio Library: Access to high-quality audio without cost was crucial for user satisfaction.
User Empowerment: Difficult navigation diminished user confidence and platform engagement.

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.

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