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2 min read12 weeks

AI Mock Interview Coach with Speech Analysis

MediumBTech CSEBCAMCABSc IT+5 moreWeb DevelopmentAI & Machine Learning
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A practice platform where students answer interview questions on camera and receive feedback on answer quality, filler words, speaking pace, and confidence.

Problem Statement

Students rarely get realistic interview practice or objective feedback before campus placements.

Objectives

1

Generate role-specific interview questions

2

Transcribe and evaluate spoken answers

3

Measure pace, filler words, and pauses

4

Produce a feedback report with improvement tips

Modules

M1

Question Bank

Role and skill based question sets with AI generated follow-ups.

M2

Recording Studio

Browser based audio and video capture for each answer.

M3

Analysis Engine

Speech-to-text, content scoring, and delivery metrics.

M4

Feedback Reports

Per-question scores, transcripts, and progress tracking over sessions.

Expected Output

A web app where a student completes a mock interview and receives a detailed scorecard with transcripts and suggestions.

Future Scope

Facial expression analysis, company-specific question sets, peer review, and placement cell dashboards.

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Frequently Asked Questions

Click the "Get Free Synopsis PDF" button on this page. Fill in your details and we will send a detailed synopsis to your WhatsApp within 24 hours at no cost.
Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: Hugging Face, Next.js, Python, TypeScript. Basic knowledge of these technologies is recommended before starting.