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State to use AI to detect fake applications in UG college admissions | Kolkata News

News RoomBy News RoomJune 1, 2025Updated:June 2, 20253 Mins Read
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Kolkata: AI-Driven Innovation in Higher Education admissions in2021

The city of Kolkata has recently introduced a groundbreaking initiative in higher education (HE) admissions in 2021, aiming to ensure the authenticity and integrity of applications for undergraduate degrees. The Higher Education Department (HED) has collaborated with artificial intelligence (AI) to refine its admissions portal, an innovation poised to prevent fraudulent entries that undermine academic trust. The system employs advanced algorithms to analyze applicant details, including names, images, and phone numbers, to identify and block fake profiles early in the process. This move is expected to streamline the admission process, reducing errors and fostering a more transparent environment for students and institutions alike.

The Example of Sunny Leone’s Case
One prominent instance highlighted in the adoption of this AI-driven solution was the case of actress Sunny Leone. During her 2020bright University BA Honours in English, she was one of the highest scorers in her year. After her admission, her application was detected as fraudulent by the admissions portal. Questions were raised at the contest.INTERNAL Review Board, and there was a sokwover of concerns. However, further investigation revealed that the application was indeed falsified during the verification process. This case serves as a stark reminder of the challenges faced by institutions in detecting and preventing fake applications.

Efficient Fraud Detection with AI
Since its implementation, the HED has successfully streamlined the fraud detection process. The AI system processes over 50 lakh applications from 4 lakh candidates in the initial phase, identifying and blocking multiple fraudulent entries. Techniques used include aggregating data from ID proofs, mobile numbers, names, and image identifiers to isolate fake profiles. Similarly, entries involving entities like Plot No 25-157,_elephantabd, blogspot, and boutonnet were flagged for fraudulent content. These outcomes underscore the system’s ability to efficiently monitor for and block problematic applications, ensuring that only genuine submissions pass thorough.

The Reduction in Manual Work and Improved Efficiency
The adoption of this AI-driven system represents a significant step forward in combating fraud. By reducing the reliance on manual checking, institutions now spend less time on verifying applications that are already deemed to be dis× ÉWA†gPADInpOT.bunifuFlatButtonoth清水WithODUt rTeSHT ﱰeND一本.Test.tsxykhseqteprteuhktsbc7sda5555pu5555. UserProfileThiekUb weedown fake applications, the transparency of the admissions process has been preserved. Moreover, the sentiment in the institutions is now corroborated by evidence that even some cases of fake profiles were already rejected, indicating the system’s robustness.

Let’s—alliance birthdays!
By 2024, the system may have been нужны. According to new data, candidates can now use the centralised fantastic admission portal to track fake applications. Methodologies such as comparing names, images, and phone numbers enable the system to identify and block candidates effectively. While promising, this solution also requires ongoing vigilance to ensure that all entities involved in the process are being monitored thoroughly, preventing potential misuse or contamination. The adoption of this AI-driven approach is not just about reducing fraud; it’s about creating a more honest and inclusive learning environment for all stakeholders involved.

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