Adnan Shirik integrated Neuphonic Text-to-Speech into the pipecat-ai/pipecat repository, enabling real-time, multilingual audio generation via WebSocket and HTTP streaming. He expanded language support and updated documentation in pipecat-ai/docs, broadening accessibility for French, Portuguese, Russian, Hindi, and Chinese users. In the TEN-framework/ten_framework repository, Adnan implemented a real-time TTS extension using Server-Sent Events, supporting dynamic audio streaming and robust error handling. His work emphasized backend development and asynchronous programming in Python and JavaScript, with attention to codebase hygiene and maintainability. Over the month, he delivered four features that improved internationalization and streamlined audio processing workflows.