In a major push for linguistic inclusion and AI-driven digital transformation, Digital India Bhashini Division (DIBD) and the Centre for Railway Information Systems (CRIS) signed an MoU to integrate multilingual AI solutions across Indian Railways’ public platforms.
Key Highlights of the Partnership:
- Objective: Enable railway services in 22 Indian languages using AI-powered language tools.
Technology Integration:
- Automatic Speech Recognition (ASR) – Voice-based queries in local languages.
- Text-to-Text Translation – Real-time multilingual responses.
- Text-to-Speech (TTS) – Audio announcements in regional languages.
- Optical Character Recognition (OCR) – Digitizing printed text for translations.
Platforms Covered:
- National Train Enquiry System (NTES)
- RailMadad (Passenger grievance system)
- Chatbots, voice assistants, call centers, kiosks, and mobile apps
Source: PIB
