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  • AI
  • NLP

AI-Powered Interview Simulator

An end-to-end interview preparation platform leveraging AI for realistic practice and evaluation.

Overview

The platform reads a candidate's resume, profiles their skills and identifies gaps, then runs simulated voice interviews with real-time speech-to-text and feedback. AI-generated technical and behavioural question sets let students practise repeatedly against the roles they are actually applying for.

Problem Statement

Students get almost no realistic interview practice before their first placement drive. Mock interviews depend on a senior being free, feedback is inconsistent, and nobody tells the candidate which skills their resume is actually missing for the role.

Proposed Solution

Automate the whole loop — resume screening, question generation, spoken practice and scored feedback — so a student can run an unlimited number of realistic interviews on their own schedule.

Key Features

  • Resume-Based Screening Engine

    AI-driven candidate profiling and skill gap analysis.

  • Voice-Based Interview Practice

    Real-time simulated interviews with speech-to-text and feedback.

  • Auto-Generated Assessments

    AI-generated technical and behavioral questions for self-practice.

Technologies Used

AI / NLP

  • LLM question generation
  • spaCy
  • Sentence embeddings
  • Python

Speech

  • Speech-to-text API
  • Web Speech API
  • Audio processing

Application

  • React
  • Flask / FastAPI
  • PostgreSQL

Project Workflow

  1. 1

    Resume upload

    The resume is parsed into structured skills and experience.

  2. 2

    Gap analysis

    Skills are compared against the target role's requirements.

  3. 3

    Question generation

    Technical and behavioural questions are generated to match.

  4. 4

    Voice interview

    Answers are captured, transcribed and scored in real time.

  5. 5

    Feedback report

    Strengths, gaps and improvement areas are reported back.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

Want This Project?

Get complete source code, documentation, PPT, explanation, and support.

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