‘Treta Yuga’ Ayodhya illuminated with lights to celebrate ‘Deepotsav’

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Ayodhya, 08 November: The Yogi government is pushing its best efforts to create a world record on the occasion of Diwali. In this series, beautiful gates based on the seven chapters of Shri Ramcharitmanas written by Goswami Tulsidas (Bal Kand, Ayodhya Kand, Aranya Kand, Kishkindha Kand, Sundar Kand, Lanka Kand and Uttar Kand) are being built on the Dharma Path in Ayodhya.

Apart from this, the Ayodhya is being illuminated by various types of lights.

The idol of Ramlala (infant form of Lord Ram) is to be consecrated in the presence of the Prime Minister Narendra Modi on January 22 in the under construction grand Shri Ram temple in Ayodhya.

Meanwhile, the Yogi government of the state is engaged in giving Ayodhya its ancient glory once again. After two months, Lord Shri Ram will be seated in his grand temple, due to which there is a lot of excitement regarding the festival of lights this year.

Devotees will experience ancient Ayodhya on Deepotsav

These gates, being prepared by the Culture Department, are being installed under the supervision of the Tourism Department.

Tourism officer RP Yadav said that on the instructions of Chief Minister Yogi Adityanath, Ayodhya is being decorated in its mythological splendor and dignity. For this, development works are being done in Ayodhya with crores of rupees. In this sequence, gates based on various incidents of the seven chapters of Ramayana are being built on the path of religion.

He told that with the construction of the gates, the devotees will get the experience of ancient Ayodhya when they reach the temple town on the occasion of ‘Deepotsav’.

Different types of lights being installed on the Dharmapath

He told that on the occasion of Deepotsav, the work of decorating Ayodhya with different types of lights is going on at a fast pace. In this sequence, various types of lights are being installed on the Dharampath, in which Ayodhya is being illuminated with the lights of Ram Temple, Chand Model, Deep Model and Wall Model.

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