AI Mock Interview

AI Mock Interview — for students and placement cells

AI Mock Interview is a self-service practice tool. Students pick a target job role, upload their resume, and the AI runs a realistic role-specific interview, then generates a feedback report. Unlimited attempts. Designed for campus placement preparation.

For students — how to take a mock

Step 1 — Pick a target role

1. Log in to your Eklavvya student dashboard.
2. Go to Mock Interview.
3. Browse the role catalogue or search. 80+ roles available including: Software Engineer, Data Analyst, DevOps Engineer, Business Analyst, Product Manager, Data Scientist, Cloud Engineer, ML Engineer, Sales, Marketing, HR, Finance, Consulting, plus role-specific variants (Backend / Frontend / Full-stack / iOS / Android).
4. Click the role to start.

Step 2 — Upload your resume (optional but recommended)

1. Upload your latest resume as PDF.
2. The AI scans it and generates questions targeting your specific experience and projects.
3. If you skip the upload, the AI uses generic role-based questions.

Step 3 — System check

1. Test webcam and microphone.
2. Use a quiet, well-lit room.
3. Latest Chrome on laptop / desktop is recommended.

Step 4 — The interview

1. Click Start Mock.
2. The AI greets you and asks the first question.
3. Unmute and speak your answer naturally.
4. Press Enter when done with a question, or say "next question please" to skip.
5. Typical mocks are 8–12 questions, 15–25 minutes.
6. Click End Mock when finished.

Step 5 — Read your feedback report

The report opens immediately after the mock and is also emailed to you.

Step 6 — Practise more

Take unlimited mocks. Each attempt counts as a separate session. Track your progress over time from Mock Interview → My History.

For placement cells — assigning mocks to students

1. Log in as placement admin.
2. Go to Mock Interview → Manage.
3. Pick the roles you want to enable for your students (e.g. focus on roles your campus typically gets offers for).
4. Assign to batches: Assign To Batch → pick batches → set availability window.
5. Optional: enable a minimum number of mocks per student before they're considered "placement-ready" (the system flags students who haven't met the bar).

Tracking student progress

1. Open Reports → Mock Interview Activity.
2. You see per-student: number of mocks taken, average score, latest score, score trend, weakest competency.
3. Filter by batch / role / score band.
4. Export to Excel for placement-readiness reports.

Tips for students

• Take at least 3 mocks per target role before the real interview.
• Treat each mock as if it were the actual interview — sit upright, look at the camera, speak clearly.
• Use the feedback report to revise weak topics between attempts.
• Try mocks in different roles to broaden your readiness.
• Don't rush. Use the prep time. Pause briefly before answering.

Common questions

Are mock results shared with recruiters?
By default, no — mock results are private to the student. Placement cells can see aggregate progress only, not individual interview content, unless the student opts in.

Do mock interviews use credits?
Mock attempts consume mock credits, which are usually pre-allocated by the placement cell. Students don't pay individually.

Can I get back to a specific past mock?
Yes — Mock Interview → My History lists every attempt with date, role, score, and a link to replay the report.