​​ InterviewLens — AI powered Interview Scorer and Analyzer
How It Works
Capstone Project

InterviewLens — AI powered Interview Scorer and Analyzer

Group: Capstone Project

Product Category: AI Engineering

Sub Category: RAG & LLM Applications

Solution Available

Source code, datasets, and other related files for the solution will be provided.

About this Product

InterviewLens is an advanced, full-stack capstone project that turns a recorded technical interview into structured meeting notes, a confidence score, skill coverage analysis, and a hiring-manager feedback report — entirely offline using open-source models only. No paid APIs, no Docker, no data leaves your machine.

With this project, you'll build an application that can:

  • Transcribe a recorded interview automatically using faster-whisper with speaker diarization via SpeechBrain
  • Identify interviewer and candidate speakers using a role heuristic — skipping the LLM when the margin is clear
  • Analyse the transcript in chunks with Ollama qwen3:4b — extracting key questions, skill evidence, and grounded quotes
  • Score candidate confidence (0–100) using a transparent weighted formula — answer quality, delivery, and assertiveness
  • Generate a hiring-manager feedback report with strengths, improvements, and skill ratings
  • Improve with every approved review — reference answers, hotwords, and a Ridge calibration model

Building this project gives you hands-on experience in:

  • Speech-to-text and diarization — faster-whisper, ECAPA embeddings, and Ward clustering
  • LLM integration — chunked map-reduce analysis, JSON schema output, and quote grounding
  • RAG and embeddings — ChromaDB skill evidence retrieval and reference re-grading
  • Background job architecture — DB-polled worker, child process per job, and crash recovery

It uses Python, FastAPI, SQLAlchemy, SQLite, ChromaDB, faster-whisper, SpeechBrain, Ollama, React, TypeScript, and Tailwind CSS — no Docker required.

Why this project matters: This project teaches the full AI engineering stack — speech processing, LLM analysis, RAG, and grounding — in a domain every hiring team immediately understands.

Resources

1/4
Setup, Run & Test
Setup, Run & Test
| PDF

The InterviewLens — AI Interview Scorer and Analyzer setup and execution guide is available as a Read-Only PDF. It provides step-by-step instructions for setting up the project, installing dependencies, downloading models, and running the application.

Guide Contents:

  • Prerequisites
  • Virtual environment setup and dependency installation from requirements.txt and constraints.txt
  • Model downloads 
  • .env setup and Alembic database migration
  • Commands to run the application via python run.py and verify with the self-test
  • Commands to run pytest and Vitest test suites
  • Common issues
Enroll to Access
InterviewLens — AI powered Interview Scorer and Analyzer
50% OFF

Skills

Python FastAPI React TypeScript SQLite SQLAlchemy Alembic ChromaDB faster-whisper SpeechBrain Ollama RAG Prompt Engineering Tailwind CSS

Languages

English

Level

Advanced

Business Domain

Technical Hiring

$5.00 $10.00

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