16.04.26

Monetary

Finished product

Задачи ИКТ

образование

ai

Mobile app

4. Functional requirements 4.1 User Profile • User registration and authorization • Language proficiency level selection (A0–B2) • Choosing a learning goal ⸻ 4.2 Voice speaking sessions • Conducting voice dialogues with AI in Kazakh • Duration of one session: 5-15 minutes • Support for natural dialogue (question–answer) • The ability to repeat or clarify the answer ⸻ 4.3 User speech analysis After each session, the system should automatically: • recognize the user's speech • identify grammatical errors • identify lexical errors • analyze pronunciation and fluency of speech ⸻ 4.4 Feedback and correction • Displaying a list of errors after the session • Explanation of errors in a simplified form • Examples of correct phrases • Repeated practice based on mistakes made ⸻ 4.5 Personalization of training • Adapting the complexity of the dialog to the user's level • Record the history of errors and previous sessions • Automatic selection of themes and scenarios ⸻ 4.6 Tracking progress • History of sessions conducted • Accounting for the total time of conversational practice • Display of the current level of language proficiency • Display of the dynamics of improvements ⸻ 5. Non-functional requirements 5.1 Performance • AI response time — no more than 5 seconds • Stable operation with simultaneous sessions 5.2 Security • Protection of users' personal data • Secure storage of voice data • Limited access to data 5.3 Scalability • The ability to add new languages • The ability to expand functionality ⸻ 6. Implementation platforms • Web version (desktop and mobile web) • The possibility of further development of mobile applications (iOS, Android) ⸻ 7. Technical requirements • Using Speech Recognition (STT) technologies for the Kazakh language • Using Speech Synthesis Technologies (TTS) • Using LLM for dialogue and speech analysis • Backend API for managing user sessions and data ⸻ 8. Expected Outcome (MVP) A ready-made AI platform that provides: • voice communication of the user with AI in Kazakh • Automatic speech analysis and correction • Personalized learning trajectory • Saving and displaying progress ⸻ 9. Acceptance criteria • The user can go through a voice conversation session • AI understands and responds correctly in Kazakh • Speech errors are correctly recorded and displayed • User's progress is saved between sessions

https://getfluently.app /is a clone of this project

Алимова Жания