Core Concept - The choice of technology framework is crucial for developing an AI speaking app, impacting performance, development efficiency, and the effectiveness of AI functionalities [1] Group 1: App Structure - An AI speaking app typically consists of three layers: AI core layer, backend service layer, and frontend application layer [1] - The AI core layer acts as the "brain" responsible for voice processing and intelligent assessment [3] - The backend serves as a bridge connecting the AI core with the frontend application, managing user data and storage [4] - The frontend is the user interface that needs to provide a smooth and intuitive experience [5] Group 2: Development Framework - A recommended efficient development framework for an AI speaking app includes using Flutter for the frontend and Python (Django) for the backend, utilizing Alibaba Cloud's AI services [6] - This combination ensures robust AI functionalities while maintaining development efficiency and user experience [6] Group 3: Core Functionalities - Speech recognition (ASR) and pronunciation assessment are the core functionalities of the AI speaking app, typically leveraging mature third-party cloud services for high accuracy and low latency [7] - iFlytek is noted for its strong capabilities in Chinese speech recognition and assessment, while Alibaba Cloud and Google Cloud offer comprehensive services for various languages [7] Group 4: Natural Language Processing (NLP) - NLP is essential for intelligent dialogue features, requiring models based on Transformer architecture or platforms like Rasa and Dialogflow for quick dialogue logic construction [7] - NLP also aids in semantic analysis to understand user responses and provide intelligent feedback [7] Group 5: Development Languages and Frameworks - Python is favored for AI and data science due to its extensive libraries, while Node.js is suitable for high concurrency and real-time interactions [7] - Java is recognized for its stability and security, making it ideal for complex applications, especially in user management and payment systems [7] Group 6: Database Solutions - Relational databases like PostgreSQL and MySQL are used for structured data storage, while non-relational databases like MongoDB are suitable for unstructured data such as audio files and assessment results [7] Group 7: Cloud Services - Major cloud service providers like AWS, Alibaba Cloud, and Tencent Cloud offer essential services for app deployment, ensuring stability and scalability [7] Group 8: UI/UX Design - The design of the app should be simple and intuitive, emphasizing core functionalities, with a user-friendly voice interaction interface [7] - Gamification elements can enhance user engagement and motivation for continuous learning [7]