Voice-Driven Generation System with Mobile APIs and Content Management
A voice-powered AI content platform that converts interview recordings into structured eBooks with CMS, mobile API support, and LLM-based generation.
Many writers, coaches, educators, and businesses collect valuable ideas through interviews, conversations, or recorded sessions. But turning those recordings into structured written content like eBooks usually takes a lot of manual effort, editing, and content organization.
This project solves that problem by building a voice-driven eBook generation system. It records interviews, converts the audio into text using AWS Transcribe, and then uses LLMs to generate structured eBook content from the transcript.
The platform also includes a CMS for managing generated content efficiently, along with user and admin systems for better control. Mobile APIs were developed to improve user engagement, and image generation tools were integrated to make the eBook creation experience more complete and interactive.
Key benefits
- Converts recorded interviews into text using AWS Transcribe
- Generates structured eBooks using LLMs
- Improves eBook generation speed by 10%
- CMS support for easier content management
- Enhances user engagement by 20% through mobile APIs
What's included
- Audio recording and transcription workflow
- LLM-based eBook generation system
- CMS for managing generated content
- User and admin management system
- Mobile APIs and image generation integration
Use Cases
- Interview-to-eBook generation
- AI-powered content creation
- Educational content publishing
- Author and coach content automation
- Mobile-based content engagement platform
Key deliverables
- Voice-driven eBook generator
- AWS Transcribe integration
- LLM-based content generation workflow
- Django CMS and admin system
- REST APIs for mobile integration
- MySQL-backed content management structure