The Bengaluru Police has launched the AI-powered multilingual feature in the Namma 112 emergency helpline and becoming the first police unit in India to launch this type of such technology. This system will enables the communication in more than 10 Indian and foreign languages and it will addressing the long-standing language barriers during the emergencies. This innovation is also expected to significantly improve the accessibility, response efficiency and the safety for both residents and international visitors in the city of Bengaluru.
What Makes This AI Helpline Unique
The newly introduced system is built on the Voice AI for the Nationwide Key Interventions (VANKI) and it is developed in collaboration with the Monday Ventures and Aeos.
Supported Languages
The helpline will now supports the wide range of languages which includes the,
- Indian languages: Bengali, Malayalam, Gujarati, Odia, Manipuri, Assamese, Kashmiri, Nepali
- Foreign languages: French, Spanish, Arabic
Also the police personnel are already familiar with the Kannada, English, Hindi, Tamil and Telugu and makin the system even more effective.
This will ensures that callers can communicate in their native or the preferred language during emergencies and will reducing confusion and delays.
Why This Innovation Was Needed
Bengaluru is the global city which attracts people from across India and the world.
However the local language barriers have often posed the challenges during emergency calls.
According to police data,
- The control room has receives around 8,000 calls daily.
- About 2,000 calls require the direct action.
- And around 100-200 callers speak the unfamiliar languages.
The languages like Malayalam, Spanish, French, Nepali and Arabic were among the most frequently languages which have encountered the challenges.
Government and Police Leadership on the Initiative
The project was launched by the G Parameshwara who had emphasized the Bengaluru’s global nature and the need for the inclusive services.
The Police Commissioner Seemanth Kumar Singh have also highlighted that while officers know multiple languages the real-time emergency communication often posed the challenges.
The department also began to collecting language data in January 2026 which helped identify the need for this AI-driven solution.


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