Thursday, December 4, 2025

Mission Karnataka: Saints of coastal area meet BJP chief Nadda

Date:

Bengaluru: The seers of various maths in coastal Karnataka on Monday visited BJP national president J P Nadda who is in Karnataka ahead of elections.

The seers urged Nadda to take steps for the implementation of the uniform civil code and also wanted the BJP to accord priority to the implementation of the national educational policy.

The seers also demanded Tulu language should be given suitable recognition.

New industrial schemes should be taken up without harming the bountiful natural, religious and cultural resources of the coastal region. Encroachment on land belonging to temples should be prevented, the seers said.

They also sought offices of the National Investigation Agency in Malnad to curtail incidents of love jihad, illegal cattle trafficking and terrorist activities.

Union Minister Shobha Karandlaje, BJP national general secretary C T Ravi, State president Nalin Kumar Kateel, State Minister Sunil Kumar and Raghupati Bhat MLA were present.

Related articles

Chief Justice Suryakant Proposes Historic National Judicial Policy for Uniform and Predictable Justice Across India

In a landmark address delivered on Constitution Day, Chief Justice Suryakant has unveiled a bold proposal for a...

Universal Health Organisation (UHO) Weekly Newsletter – 28 November 2025

Face Saving Fake Covid Inquiry Report by UK: Setting the stage for Pandemic Treaty? Website: https://uho.org.in Download: https://uho.org.in/nl/2025-11-28-newsletter.pdf (copy and...

Dr. Lalit Kumar Anande Challenges Conventional Wisdom on Superbug Threat, Reveals Ancient Roots of Antibiotic Resistance

Dr. Lalit Kumar Anande, a leading voice in clinical research and public health, has issued a stark warning...

World Economic Forum pushes Facial Recognition Technology: Technology that detects citizen dissatisfaction with governmental services in real time through Facial Expression Recognition

The World Economic Forum's Tunis Hub is exploring the use of human emotional recognition technology, specifically through facial expression...