llm-podcast-engine
L
Llm Podcast Engine
Overview :
The llm-podcast-engine is an intelligent podcast generator that uses artificial intelligence to automatically create engaging audio content from online resources. The system scrapes news content, generates natural narratives using Groq's language model, and converts it into audio podcasts with ElevenLabs' voice synthesis technology. This project showcases the powerful capabilities of automated content generation and audio synthesis, with major advantages including automated news aggregation, AI-driven content generation, text-to-speech synthesis, a modern web interface, and real-time progress updates.
Target Users :
The target audience includes content creators, podcast enthusiasts, and technology developers. This product is suitable for them as it automates the podcast content generation process, saving time and resources while providing high-quality audio output that meets the demands of professional podcast production.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 61.3K
Use Cases
News organizations use the AI Podcast Generator to automatically convert news articles into audio podcasts.
Individual podcasters use this tool to generate podcast content from blog posts.
Educational institutions utilize this technology to convert course content into audio format for student revision.
Features
Automated news aggregation: Scrapes content from multiple news sources using Firecrawl.
AI-driven content generation: Generates engaging podcast scripts using Groq.
Text-to-speech synthesis: Converts the generated content into naturally sounding audio using ElevenLabs.
Modern web interface: Built with Next.js and Tailwind CSS.
Real-time progress updates: Displays generation status in real-time.
How to Use
1. Obtain the necessary API keys, including Groq, ElevenLabs, and Firecrawl.
2. Configure the API keys in the .env file located in your project directory.
3. Clone or download the AI Podcast Generator project to your local machine.
4. Install the project dependencies.
5. Run the project, typically by executing 'npm run dev' or 'yarn dev' in the root directory of the project.
6. Access the web interface of the application to start using the automated news aggregation and podcast generation features.
7. Monitor the real-time progress and wait for the audio content generation to complete.
8. Download or play the generated audio podcast directly on the platform.
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