Indore: In Rajgarh district of Madhya Pradesh, a mob of miscreants attacked the wedding processions for making a Dalit groom sit on a mare and play DJ in front of a mosque. Many people have been injured in this attack. At the same time, a five-year-old girl has been referred to Ujjain in a critical condition. Police have registered a case against seven people including Farhan, Junaid, Sohail, Sabir, Anas Kasai. The incident happened late on Tuesday (17 May 2022), when a procession had come to the house of a Dalit in Zirapur in the district.
DJ was playing in this procession and the groom was sitting on a mare. As soon as this procession passed in front of the mosque in the locality, some Muslim youths pelted stones on the processions. During this, along with playing the band and dhol, the processions were also fiercely beaten up. Ankit Malviya of the victim's side told that the procession of his cousin Anju had come from Suresh Chauhan's house in Susner. They all stood at the door to welcome the procession. As the procession approached the mosque, the Muslims stopped the bands and drums and said that playing bands in front of the mosque is prohibited in this village.
After this the procession progressed and reached near the Sheetla Mata temple and then the bands and drums started playing and the people involved in the procession started dancing. Meanwhile, 20-25 people from the Muslim community created a ruckus and beat up the drummer badly. During this, they also pelted stones on the baraatis. Many processions were injured in this attack. At the same time, people who came to attend the procession started returning without eating or drinking anything. Ankit says that the marriage took place in the presence of only 10-15 people including parents. The entire incident of the attack has been recorded in the CCTV footage. On the basis of the footage, the police have registered a case against Samar Lala, Farhan Khan, Junaid Khan, Sohail Khan, Sabir Khan, Anas Kasai, Dagga Khan and others. Police is identifying the accused on the basis of CCTV footage.