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Fix typo in README.md (#993)
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education-ai-suite/smart-classroom/README.md

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• API-first design ready for frontend integration
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• Extensible roadmap for real-time streaming, diarization, translation, and video analysis
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[![Smart Classroom UI](./docs/user-guide/_images/smart_classroom_ui.png)]
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[![Smart Classroom UI](./docs/user-guide/images/smart_classroom_ui.png)]
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## Get Started
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The basic architecture follows a modular pipeline designed for efficient audio summarisation. It begins with **audio preprocessing**, where FFMPEG chunks input audio into smaller segments for optimal handling. These segments are processed by an **ASR transcriber** (e.g., Whisper or Paraformer) to convert speech into text. Finally, an **LLM summariser** (such as Qwen or Llama), optimised through frameworks like OpenVINO IR, Llama.cpp, or IPEX, generates concise summaries, which are delivered via the **output handler** for downstream use.
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[![High-Level System Diagram](./docs/user-guide/_images/architecture.svg)]
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[![High-Level System Diagram](./docs/user-guide/images/architecture.svg)]
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## Learn More

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