Practice needs a person. Every session, every student.
Someone has to ask the questions, score the answers and find a slot that suits both. So there is a limit to how many can happen.
Every student gets a full interview where an AI interviewer asks the questions, and each student gets a report on how they did and what to improve.
Amity University
Chandigarh University
GIMS College
International School of Management Excellence
Jain University
Jaipuria Institute of Management
KIET Group of Colleges
Krea University
PSG Institute of Management
Sinhgad College of EngineeringEvery session needs an interviewer, a free slot and someone to write the feedback. All three run out long before the batch does.
Someone has to ask the questions, score the answers and find a slot that suits both. So there is a limit to how many can happen.
Enough to try an interview once or twice, nowhere near enough to get better at one. There is no room to work on what came back.
What a student was told in the room is not written down, so nobody can act on it later or check whether it helped.
Students need more interview practice than any office can run by hand.
An AI interviewer runs it, so nothing has to be scheduled. Assign it to one student or the whole batch, and run it again whenever you need to.
Walk me through the project on your resume you are proudest of.
Build interviews for any role or round with AI-generated questions, skill-based evaluation, and flexible question libraries. Use InfyLearn’s library, your own questions, or a mix of both.
Choose the round, where the questions come from, and what it examines. Each student gets one built around their own profile and the role.
Choose the role, the round, the difficulty and the language. Set it up once and use the same setup for every student.
Use ready-made questions, add your own, or let each student be asked about their own resume and the role. You can mix all three.
Send it to one student or the whole batch. They sit it on camera, without waiting for a panel or booking a slot.
Before the drive, for a specific company, or whenever a student needs practice.
Each one comes back with its own detailed report.
Pick a situation to see what runs
It is the same interview, set to admissions. Send it out with the application form, and every applicant sits it on their own time.
Why this programme, and what do you want to do after it?
Ready the moment they finish. Your team opens the same report from any row in the batch.
It says how the interview went and what would make the same answers stronger.
Delivery is taken off the recording and reported next to the score rather than folded inside it.
Delivery signals tracked question by question, and a grade per skill drawn only from the questions that tested it.
Ten questions, ten marks. A weak answer shows as a weak answer instead of disappearing into an average.
The tab that turns a score into homework. Short, specific, and written for someone else to hand over.
Swipe the screen sideways to see the whole report.
CEFR is the international scale for language levels, from A1 to C2. The band is read off the communication score, so subject knowledge never stands in for language.
Two scoring frameworks are available. Your team picks one when the interview is built, so a cohort is never measured two ways.
The whole batch on one screen, sortable by name, section or score. Attempt against attempt, so improvement is a number rather than an impression.
42 of 74 improved between their first attempt and their last, by an average of 11.4 points. The ones who did not are the ones who only ever took one.
Ahead of her batch on four of five, behind on confidence. That is a mentoring conversation, not a score.
Anything on this screen can be exported.
Talk to our teamOne platform to create, choose, secure, and run interviews at scale. Give every student a consistent interview experience.
Run an interview open or proctored. Switch it on and it flags a missing or second face, eyes moving away from the screen, tab switching, objects in frame, and other voices in the room.
Different manner, different accent, previewable before you assign. A student never practises against one style.
The interview runs in the student’s own language and the report is written in it.
While the interview is open, nothing else on the computer will run. No other apps, no screen sharing, no remote access. No other tabs.
Name the groups, set how many questions each carries, and weight them against each other. The duration follows from the count, so you see the length before you assign it.
Pre-built interviews by company and role. Start from one instead of a blank screen.
If the network dips mid-answer the interview holds rather than dropping, so a student does not lose the attempt.
Every report downloads as a file, so it can go to a mentor, into a review, or onto the student’s record.
An interview and an MCQ round in the same assessment, read as one result.
Thousands of sessions run at the same time, across campuses.
Infy Interview is complete on its own. Run the other InfyLearn products too, and they share one student record.
Students practise interviews alongside their courses, using what they learned for the roles they target.
Explore Infy LMSCombine MCQs, descriptive questions and an AI interview in one assessment.
Explore Infy AssessQuestions are built from the resume, around what the student actually claims.
Explore Infy ResumeAdd an interview as a stage in hiring, for pre-screening or later rounds.
Explore Infy RecruitInfy Interview connects over APIs for data sync, interview scheduling and exporting results, so records land where your team already looks.
The ones we hear most often. Anything else gets answered on a call, usually in the first ten minutes.
Questions come from our library, from your own set, or are built for each student from their resume and the job description, and you can mix all three. Every student then gets written feedback on what they said and how they said it, and can repeat it as often as they need.
Most stop at simulating an interview. This adds resume parsing, follow-up questions, interviewer personas, adaptive question sets, and analytics across a whole batch.
Yes. Questions adapt to engineering, business, design and management domains and more, so each department gets preparation built around what it actually needs.
It is optional, and you decide per interview. With it on, nobody has to supervise: it detects an absent or second face, gaze moving away, objects appearing in frame, tab switching and background noise, and records what it found against that attempt.
Yes. Thousands of sessions can run at the same time, including across multiple campuses.
Yes, through APIs. That covers data sync, interview scheduling, exporting performance data and record management.
Every interview is stored for 30 days along with its report, so teams can use it for review meetings and coaching.
Send us one role. We run a full interview against it before the call, so you see your own report, not a demo.