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Case study

PrepWise - AI-Powered Mock Interview Platform

Built a real-time AI interview platform using Whisper, MediaPipe, FastAPI, WebSockets, and Docker to analyze live interview performance and deliver instant multi-modal feedback.

Business Impact

Enabled instant feedback across speech, visual cues, and interview performance signals.

Tools

WhisperMediaPipeFastAPIWebSocketsDockerPython

Real-time feedback loop

Multi-modal analysis

Containerized delivery

Problem

Interview preparation often lacks immediate, structured feedback across spoken answers, delivery, and non-verbal performance cues.

Data / Architecture

A real-time web application streams interview sessions through WebSockets, routes speech through Whisper, extracts visual cues with MediaPipe, and serves feedback through FastAPI containers.

Process

Designed the live feedback workflow for speech, visual, and performance signals.

Integrated AI and computer vision services behind a FastAPI interface.

Containerized the application with Docker for repeatable local and deployment environments.

Business Impact

Created a practical applied-AI product that turns mock interviews into actionable coaching sessions.

Screenshots

PrepWise AI interview platform architecture and feedback dashboard visualization