If you searched for how to prevent cheating in Unstop, the short answer is this: the platform is built so that shortcuts leave evidence, and the smartest move is to prepare properly rather than look for a workaround. This post explains what Unstop's proctoring actually does, the shortcuts people try, why those shortcuts get flagged, and how honest candidates can avoid being wrongly flagged.
A quick note on framing. No system is literally perfect, and we are not going to pretend otherwise. But "can it be beaten" is the wrong question. The right question is what you stand to lose if it is not, and for a campus placement test or a hackathon qualifier, the answer is a lot.
Why cheating is a bad bet
Online assessments exist so a recruiter can trust that a score reflects a real person's real skill. If you pass on borrowed answers, you do not just risk a flag. You also risk landing a role or shortlist spot you cannot perform in, then facing technical rounds, interviews and on-the-job work where the gap shows quickly.
There is also a fairness cost. Every candidate who games a test pushes an honest candidate down the leaderboard, and organisers respond by tightening proctoring for everyone. That is why settings keep getting stricter.
What Unstop's proctoring checks
Unstop's own employer pages describe what it calls 360-degree AI proctoring. Based on those pages, the checks fall into a few groups:
- Identity: mobile and email OTP verification, Aadhaar-based face registration, and real-time face re-verification during the test.
- Camera and microphone: continuous video monitoring, multiple-face alerts, voice biometrics, and background-noise detection.
- Browser and screen: full-screen enforcement, tab-switch detection, and screen recording.
- Location and device: IP and geo-location tracking, IP binding, and checks for unauthorised devices.
- After the test: auto-generated reports and video audit logs that recruiters can review.
Unstop also describes basic, standard and advanced proctoring tiers, and says flagged activity goes for human review. Which features apply depends on how the organiser configured that particular assessment.
Shortcuts people try, and why they get flagged
We are not going to walk through how any of these work, because that is not the point. The point is what each one looks like from the proctor's side.
Remote PCs and second machines
Some candidates try to have a helper control the machine, or run the test on a computer that is not really in front of them. This runs into identity, camera and location checks, since the person on camera, the device and the network have to line up. Unusual IP or geo-location patterns are precisely the kind of signal location tracking is meant to surface. Even when nothing is flagged live, the recording and logs remain for review afterwards.
Overlay and AI answer tools
Overlay tools and AI assistants are the newest shortcut, and the one candidates assume is invisible. But a proctoring session is not only about what you see on your screen. Screen recording, tab and full-screen monitoring, and your own behaviour on camera are all captured. Long pauses, eyes fixed off to one side, answers that appear in bursts, or talking quietly to yourself while reading all create a pattern a reviewer can notice.
Phones, notes and a helper in the room
Unstop lists multiple-face detection, voice and background-noise detection, and unauthorised-device checks. A second person whispering answers or a phone propped out of frame is the textbook case these checks are built for.
Impersonation
Taking a test on someone else's behalf runs straight into face registration and re-verification. This is the check that is hardest to talk your way out of afterwards.
How honest candidates get flagged by mistake
Not every flag means cheating, and automated systems do produce false alarms. These are the usual innocent causes:
- A family member walks into the room or speaks nearby.
- A notification or background app steals focus and looks like a tab switch.
- A weak connection drops the camera feed or causes full-screen to exit.
- Poor lighting or sitting too far from the camera makes your face drop out of view.
- Reading questions aloud or muttering while thinking triggers the audio check.
A checklist to stay safely unflagged
- Do a camera and microphone test well before the start time.
- Take the test alone, in a quiet and well-lit room, facing the camera.
- Close every other app, browser tab, chat window and notification source.
- Use one device with a stable internet connection, plugged into power.
- Stay in full-screen mode and do not click outside the test window.
- Read the instructions on the specific assessment page, since proctoring rules vary.
- If something outside your control interrupts you, write to the organiser immediately with a clear explanation.
What to do instead of cheating
If you are worried about a test, the better investment is practice. Work through past papers and mock rounds, learn the format, and treat every attempt as rehearsal. Browse more guides in what are hackathons, how to win a hackathon and hackathon platforms compared for ways to build real skills and a real portfolio, which is what recruiters are ultimately trying to measure.
Does the same logic apply on other platforms?
Yes. Platforms such as HackerRank, Adaface and others describe broadly similar toolkits: webcam monitoring, tab and full-screen tracking, screen proctoring, IP checks and plagiarism models for code. Details differ, so always check the specific platform's rules, but the principle is the same everywhere. Layered checks plus human review mean shortcuts are risky and honest preparation is the reliable route.