Multi-language support in AI systems requires handling speech, text, and retrieval across diverse linguistic inputs. Articles cover voice AI in multiple languages, Bhashini integration for Indic language processing, and the cross-lingual patterns that make AI systems globally accessible.
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A rider asks the bike a question in Marathi, Hindi, or English. The voice stack has to do ASR, intent classification, dispatch to a service tool, generate a response, TTS — all under 3 seconds. Notes from the proof-of-concept.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.