AI-based story generation capabilities
Large Language Model integration for context-based story generation with personalization parameters.
ElevenLabs TTS integration with neural speech synthesis for natural audio output.
Selection from multiple TTS models with different voice characteristics and speech rates.
Specialized audio parameters for sleep content with reduced frequencies and slower speech rate.
Content moderation with pedagogical guidelines and age-appropriate topic filtering.
Content filtering and parental controls with local data processing without external tracking services.
Simple user guidance, high-quality prompts, and the best models

Child-friendly design with simple navigation and large, colorful buttons.
High-quality, individual stories based on user preferences.
Crystal-clear and emotional voice output for the best listening experience.
Multiple layers for reviewing generated stories.
Microservice architecture with cloud-native components and AI service integration.
Agile development methodology
Iterative development with AI-assisted coding and continuous integration/deployment.
Implementation of core features with AI code generation and automated testing.
Code review, performance optimization and refactoring of AI-generated components.
User Acceptance Testing and automated end-to-end tests with CI/CD pipeline.
Production deployment with monitoring, logging and continuous updates.
Real stories in an individual world
Automated content verification with pedagogical guidelines and age group classification.
Dynamic story creation without predefined content library through LLM-based generation.
GDPR-compliant data handling with local processing and end-to-end encryption.
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