Smart Multilingual & Voice-Aware Chatbot for Pan-India Users

Currently, Chatling uses the Language Condition block to respond based on the browser’s language setting (e.g., Spanish, French, English). While this works well for a few languages, manually building separate flows for each regional language in India is impractical and time-consuming.

🧩 Requested Enhancements:

1. Smart Multilingual Understanding & Response

• The chatbot should understand and respond in any Indian language, regardless of whether it is natively supported.

• Use language detection + translation models to:

  • Detect user input (typed or spoken)

  • Translate to internal language for processing

  • Respond back in the same language as the input (even if it’s unsupported like Marathi, Tamil, etc.)

2. Universal Voice Support

• Accept voice input in any Indian language.

• Generate text or voice replies in the same language for inclusive interaction, especially useful for rural or elderly users.

3. Eliminate Need for Manual Multi-language Flows

• Avoid creating separate decision branches (e.g., IF language == 'X') for every language.

• Instead, use a dynamic translation-based pipeline, saving time and ensuring scalability across India’s linguistic diversity.

🎯 Why This Matters:

• Increases accessibility and reach across India’s diverse regions.

• Supports non-English and non-Hindi speakers who prefer their native language.

• Saves significant development effort and time for bot creators.

• Aligns with Digital India and Bhashini initiatives promoting digital inclusivity.