Photo: IANS
New Delhi: A total of 22,80,054 candidates from India and abroad have registered for the NEET-UG retest scheduled for Sunday afternoon. Uttar Pradesh recorded the highest number of applicants, with 3,56,291 candidates appearing for the exam, including 5,401 students from overseas.
Nine states are expected to have more than one lakh candidates each taking the medical entrance test. The retest is being conducted after the cancellation of the May 3 examination, The New Indian Express reported.
The exam will be held from 2 pm to 5.15 pm across 5,440 centres in 551 cities within India and 14 locations abroad. Question papers will be available in English and 12 Indian languages.
To ensure transparency and prevent malpractice, authorities have implemented extensive monitoring measures. Around 1,38,560 CCTV cameras have been installed, with live feeds being monitored at national, state and ministry levels. A total of 51,311 jammers have also been deployed across examination centres to prevent electronic cheating.
The National Testing Agency (NTA) conducted a nationwide mock drill on Saturday to test the preparedness of examination centres. An NTA official said the drill successfully checked the functioning of jammers, CCTV systems, seating arrangements, biometric verification and police coordination.
The agency stated that examination materials stored in custodian banks had been verified and were ready for distribution.
According to the NTA, more than 95,000 examination rooms will have CCTV surveillance. Each examination room will have two invigilators, while every centre will have over 10 additional officials overseeing arrangements.
To strengthen candidate verification, 38,795 frisking personnel and 48,448 biometric verification staff have been deployed. A Centre Systems Officer has also been assigned to each of the 5,440 centres to monitor CCTV feeds and address technical issues.
The NTA has appointed nearly 6,700 observers at examination centres, supported by more than 100 virtual observers monitoring live footage centrally. The agency said AI-based tools would also analyse CCTV feeds to identify unusual activity, creating a multi-level monitoring system.