構建 Pratinidhi：協助母語使用者應對英語客戶支援的多語言助理
Building Pratinidhi: a Multilingual assistant for navigating native language speakers through English customer support
Pratinidhi 是為 Great Indian AI Internship Challenge 製作的多語言助理原型，讓客戶以馬拉地語説明問題，並透過英語客戶支援處理個案。示範使用 Gnani Prisma 作語音識別、Timbre 作語音合成，結合錄製的真實語音 API 輸出與模擬支援通話，探索接入即時電話服務前的互動設計。
How can someone explain a customer-care problem when the helpline doesn’t offer their language?
We explored this through Pratinidhi, our prototype for the Great Indian AI Internship Challenge.
The demonstration follows this journey:
- A customer explains her concern in Marathi.
- Pratinidhi identifies missing details and asks for them by voice.
- She gives permission before the case is shared.
- The representative handles English support while she follows the conversation in Marathi.
- When additional information is needed, it asks her privately, confirms the answer and continues. We used Gnani Prisma for speech recognition and Timbre for speech synthesis.
The current demonstration combines recorded, genuine speech API outputs with a simulated support call. It explores the interaction design before live telephony integration.
Which failure mode would you prioritise before taking this into real calls?
來源：DEV Community · dev.to