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Learn to build four powerful multilingual AI applications using Sarvam.AI, India's advanced foundation model platform, in this comprehensive hands-on tutorial. Develop a multilingual chatbot with conversation memory that maintains context across different languages, then create a speech-to-speech application that converts voice input into natural spoken responses using large language models. Build a sophisticated MCP (Model Context Protocol) task manager that can add, remove, and track tasks in a persistent database across multiple languages, and construct a YouTube RAG (Retrieval Augmented Generation) question-answering system that provides accurate answers with proper citations when querying video content. Master practical GenAI development techniques through step-by-step implementation of each project, gaining hands-on experience with multilingual AI capabilities, voice processing, database integration, and retrieval-augmented generation systems suitable for developers, machine learning enthusiasts, and voice application creators.
