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BHASHINI- {BHASHa INterface for India} (UPSC-RAS)

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Ministry - Ministry of Electronics & Information Technology (MeitY)

Mission - National Language Translation Mission (NLTM)

Main objective-

  • Build a National Public Digital Platform for Indian languages using AI & NLP so every citizen can access digital services and content in their native language.
  • (National Language Translation Mission) provides an open-source platform featuring Large Language Models (LLMs) and datasets tailored for Indian languages. It utilizes these models through APIs to power speech-to-text, translation, and text-to-speech services across 22 scheduled languages.

key part -

BhashaDaan -

  • Crowdsourcing platform — citizens contribute and validate text, speech, and image data to train AI models.
  • Sub-initiatives
  1. Suno India
  2. Bolo India
  3. Likho India
  4. Dekho India.

BhashaSangam -

  • Core translation and processing engine with 300+ pre-trained AI/NLP models for speech-to-text, text-to-text, and text-to-speech tasks.

Bharat Data Sagar:

  • An expansive, India-centric data repository focused on creating datasets for Indian languages, culture, and heritage to ensure AI accurately represents India's diverse identity.

Key Details & Features

  1. AI4Bharat Collaboration: BHASHINI models are heavily developed in partnership with AI4Bharat (IIT Madras). They include IndicBERT, IndicBART, and Airavata, which are optimized for regional languages and low-resource dialects.
  2. Voice-First Focus: The architecture emphasizes spoken interaction. It seamlessly chains automatic speech recognition (ASR), an LLM or neural machine translation engine, and text-to-speech (TTS) to allow users to speak in their native tongue.
  3. Vatika Platform: The BHASHINI Model and Data Vatika is a unified repository where researchers can discover, explore, and access open-source Indian language models.
  4. Anuvaad: An AI-powered text translation system.Abhilekh: A real-time voice-to-text transcription tool.
  5. Integration APIs: Developers and enterprises can integrate BHASHINI models into their applications via Bhashini APIs to bridge language barriers in e-governance, healthcare, and finance.