A solo-developed SaaS platform designed to simulate the pressure of high-stakes technical interviews. It replaces the need for human mock interviewers by using Generative AI to conduct dynamic conversational rounds, assess code quality in real-time, and generate comprehensive scorecards grading the user on accuracy, efficiency, and communication.
Personal Project
Creating a coherent 'Interviewer Persona' that could strictly follow a technical questioning path without deviating, while simultaneously grading the user's answers against hidden metrics to produce a structured JSON scorecard.
Instant
Detailed Scorecard
Solo Dev
End-to-End Build
Gemini
Context Aware
Engineered a robust prompt-chaining architecture using the Gemini API to maintain conversation context. Implemented a reliable feedback loop where the AI analyzes both speech (via Web Speech API) and code input to generate granular, actionable feedback reports immediately after the session.
