NEET UG 2024 conducted by NTA on May 5 from 2 pm to 5:20 pm
Exam held in 557 cities across India and 14 cities abroad
Over 24 lakh medical aspirants competing for around one lakh MBBS seats
Hall ticket mandatory for entry; available on exams.nta.ac.in/NEET
Admit card must display candidate’s photograph, signature, and roll number barcode
If essential details missing, candidates advised to download admit card again.
Admit card consists of three pages: enter details, self-declaration form, photograph, and instructions
Candidates must paste postcard-sized photograph on page 2 before arriving at the centre
Dress code: casual attire, no long sleeves or shoes; slippers or sandals recommended
Candidates in customary dress to report by 12:30 pm; reporting time at exam centre is 11:30 am
Last entry into exam hall at 1:30 pm; no entry allowed post this time
Banned items prohibited; security procedures in place
No bio-breaks allowed during first hour after exam starts and last half-hour
Biometric attendance and frisking at entry; repeated for bio-break or toilet break
Over 10 lakh male, 13 lakh female, and 24 third gender candidates registered
NEET UG 2024: pen-paper-based test, duration 3 hours and 20 minutes
NEET UG 2024 permitted items
NEET UG admit card: Must be downloaded from the NTA website, with postcard-sized photograph affixed on designated space (page 2)
Valid ID proof: Preferably Aadhaar card with photograph, e-Aadhaar, ration card, Aadhaar enrolment number with photo. Other valid government-issued IDs accepted include PAN card, driving license, voter ID, Class 12 admit or registration card, passport, original school identity card with photo
Personal transparent water bottle: Allowed
Additional photograph: Same as uploaded on NEET UG application form, to be pasted on attendance sheet
PwD certificate and scribe-related documents: Required if applicable
NTA urges candidates to refrain from unfair means
Zero-tolerance policy towards malpractices
Measures include multistage biometric authentication, surprise visits by flying squads, utilisation of AI tools for discrepancy detection, thorough invigilation supervision
