From our research
What this interview looks like
In an Indian engineering college, every lab course ends in a practical examination where the student performs one experiment or writes one program and then faces a viva voce from an internal examiner and, in the end-semester university exam, an external examiner appointed by the university. The viva typically lasts five to fifteen minutes per student, and the examiner opens the lab record or the just-completed experiment and asks the student to explain the setup, the readings, the theory behind them and what would change if a condition changed. The final-year project viva is longer: a panel of the guide, an internal examiner and an external examiner, often from industry, hears a presentation and demo and then questions each team member on the problem, design choices, their own module and the results. Marks for the viva are set by the university scheme and usually form a part of the practical or project marks, with the exact split varying by university. The ExamPilot mock compresses this into a twelve-minute viva with one examiner who opens your record, probes one subject in depth, tests what-if reasoning on a scenario from the lab or project, and closes without revealing marks.
How it is weighted
Project marks are divided between internal reviews through the year and the end-semester external evaluation; the external viva typically carries the largest single share and each team member is assessed individually, with the split set by the university's scheme.
Who this is for
Final-year students defending their major project in front of the guide, an internal examiner and a university-appointed external examiner, often from industry, after a presentation and a working demo, as well as M.Tech and MCA students facing a dissertation or project viva.
The panel focuses on
- Problem statement in two sentences and what is genuinely new compared with the existing solutions in your literature survey
- Your own module: what you built, how it works, the hardest bug or failure and how you fixed it
- Design and technology choices with the alternative you rejected and why
- Results and numbers: how you measured, how you validated and whether the report's claims match the demo
- Limitations, scalability, safety and cost if a real user used it
- Individual contribution versus team claims, and honest answers about what did not work
Step 1
Pick your subject
The expert on the panel probes these areas at the level of this post. Optional here; you can choose during setup.
Step 2
Choose how you want to be interviewed
1:1 interview
One interviewer runs every round and adapts the focus as you go. Lower pressure; ideal for a first attempt.
Ms. Deepika Venkatesan
Subject expert
Panel interview · 2 members
Most realisticEach member leads their own round and hands over to the next. They hear each other, so a weak answer will be revisited.
Prof. Raghunath Kulkarni
Subject expert
Ms. Deepika Venkatesan
Subject expert
What to expect
4 rounds · 10 minutes
A ten-minute oral examination of the kind held at the end of a laboratory course or project: school board practicals, engineering lab and project vivas, pharmacy and nursing practicals, dissertation and thesis defences. One external examiner, sometimes seated with the internal teacher, asks the candidate what they did, why it works, what they observed and what could go wrong, then looks at the record file or project and asks one question that tests whether the work is the candidate's own. The examiner escalates when answers are correct, gives one hint when the candidate is stuck, and never teaches during the viva.
- Round 1
Introduction
· 1:00Settle the candidate and establish exactly which experiment, practical, project or thesis the viva will be about, so that the subject questions can be anchored to work the candidate actually did.
Prof. Raghunath Kulkarni1–2 questionsup to 1 follow-up each - Round 2
Viva on concepts and experiments
· 7:00Test whether the candidate understands the principle behind the experiment or project they did, can describe the procedure and observations accurately, knows the precautions and sources of error, and can reason about a change in conditions. Separate genuine understanding from a memorised record file.
Prof. Raghunath Kulkarni4–6 questionsup to 2 follow-ups each - Round 3
Record file or project
· 1:00Check that the record file, activity or project is the candidate's own work and that they understand it: why they chose it, what the data or result was, what went wrong and what they would improve.
Prof. Raghunath Kulkarni1–1 questionsup to 1 follow-up each - Round 4
Closing
· 1:00End the viva courteously and formally, as an external examiner does, without feedback, marks or any hint about the result.
Prof. Raghunath Kulkarni1–1 questions
Sample questions
Engineering Viva Project viva interview questions
Questions panels commonly ask in the Engineering Viva Project viva interview, with what a strong answer covers. Practise them aloud with the AI panel.
- Problem statement
State your project problem in two sentences, and tell me what is new compared with the best existing solution in your literature survey.
What a strong answer covers
A crisp statement of who has the problem and what your system does, followed by one specific difference from a named existing approach, such as lower cost, better accuracy or a new use case. Avoid reading the abstract or claiming nothing similar exists.
- Individual contribution
Your team has four members. Which module did you personally build, and walk me through how it works internally?
What a strong answer covers
Names the module, explains inputs, processing and outputs, and the key design decision in it, with enough detail that only its author could give. Avoid describing the whole system while avoiding your own part.
- Design choices
You used a Raspberry Pi and a CNN model. What alternative hardware or model did you consider, and why did you reject it?
What a strong answer covers
Names a realistic alternative such as an Arduino, a Jetson board or a simpler model, and compares cost, power, accuracy and availability. Avoid answers suggesting the choice was simply what a senior or tutorial used.
- Validation
Your report claims ninety-two percent accuracy. On what data, how was it split, and did you test it on anything outside that dataset?
What a strong answer covers
Explains the dataset source and size, the train, validation and test split, the metric used, and any real-world testing, with honesty if results dropped outside the dataset. Avoid claims that cannot be reproduced in the demo.
- Limitations
What is the biggest limitation of your project that a real user would discover in the first week?
What a strong answer covers
A concrete limitation such as poor lighting performance, battery life, network dependency or maintenance needs, and a realistic way to address it. Avoid saying there are no limitations.
- Scalability
If a hospital or a municipal body wanted to use your system at a hundred sites, what would break first?
What a strong answer covers
Considers what changes at scale: server load and data storage, hardware cost per site, installation and calibration, network reliability and who maintains it, with one practical mitigation for the first bottleneck. Avoid assuming the lab prototype works unchanged at a hundred sites.
- Debugging
Tell me about the hardest bug or hardware failure you faced, and exactly how you found the cause.
What a strong answer covers
A specific problem, the debugging steps such as logging, isolating modules or measuring signals, the root cause and the fix. Avoid vague answers like we faced many issues but solved them.
- Safety and cost
For a mechanical or civil project, what safety factor did you use, and how did you estimate the cost of a full-scale version?
What a strong answer covers
States the factor of safety and why it suits the loads and material, and gives a rough cost estimate with main components. Avoid unrealistic cost figures or ignoring safety standards.
- Future work
If you had six more months and a small budget, what single improvement would you make, and how would you measure that it worked?
What a strong answer covers
One focused improvement tied to the project's main limitation, a realistic plan within the budget, and a clear test or metric that would show it worked, such as accuracy in poor lighting or battery life. Avoid listing many vague future features.
Reading is not rehearsing. Answer these out loud to an AI Engineering Viva Project viva panel that follows up like the real one.
Practise these questionsMeet the panel
Your AI interviewers
Distinct personas, voices and questioning styles, briefed on this post.
Prof. Raghunath Kulkarni
ChairSubject expert
Professor and former Head of Department, government engineering college (Pune); external examiner for university lab and project vivas for 20 years
Unhurried, exacting, fair; wants the reasoning, not the recited definition.
Male voice · 4 languages
Ms. Deepika Venkatesan
Subject expert
Principal Engineer at a Bengaluru product company; industry external examiner for final-year project vivas and lab exams at VTU-affiliated and autonomous colleges
Brisk, practical, curious; judges whether it would actually work.
Female voice · 4 languages
Languages
Answer in the language you think in
The panel asks in your chosen language. Switch mid-answer if you like.
- English
- Hinglish (Hindi + English)Hinglish
How scoring works
A report you can act on
Every round is scored on the rubric
Each interviewer scores only the criteria their round covers. Weights add up to your overall score out of 100.
Only what you actually said counts
Feedback quotes your own answers. Rounds you skip show as “Not assessed” rather than a zero.
Communication is always measured
Fluency, clarity, confidence and structure are tracked across the whole interview, in any language.
Pass mark, then a plan
You see the pass mark for this interview, your gaps, and the courses that close them fastest.
Scored on
- Conceptual understanding40%
States the principle, law or formula behind the experiment or project correctly and in their own words; explains why the method works rather than only what the steps are; handles a why or what-if question with reasoning; does not confuse related concepts or recite a definition that does not answer the question.
- Experimental procedure & observation30%
Describes the actual procedure, apparatus or tools, readings or data and how they were processed; knows the units, the expected result and the order of magnitude they obtained; names sources of error and the precautions that address them; for a project, knows the data, method and limitations of their own work.
- Clarity of explanation20%
Answers the question actually asked in short, ordered sentences; uses correct technical terms and units; can explain the same idea more simply when asked; does not ramble or bury the answer in unrelated recall.
- Confidence & honesty10%
Speaks steadily, holds a correct answer when gently challenged, corrects themselves when shown an error, and says I am not sure rather than guessing; recovers after a hint instead of freezing.
Pass mark 50 / 100 · Practical / project viva voce with an external examiner
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