Case study
PrepAI
An AI-powered mock interview coach — role- and company-specific practice interviews, scored instantly out of 100 with a written breakdown of what to improve.
Overview
What this is
PrepAI is an AI-powered interview practice platform. Candidates run through mock interviews tied to a specific company and role, then get an instant score out of 100 with a written breakdown of what they handled well and where they fell short — with a running dashboard of past interviews to track improvement over time.
Problem
2 key points
Solution
4 key points
Problem
Generic interview prep doesn't adapt to the role a candidate is actually walking into, and practice sessions rarely end with anything more specific than a vague sense of how it went.
Generic Practice, Real Stakes
Question banks and mock-interview PDFs don't adapt to the role or company a candidate is actually interviewing for, so practice rarely matches what gets asked.
No Objective Read on Performance
Without a structured score or written breakdown, candidates leave a practice session with a vague sense that "it went fine" instead of a specific weak spot to fix.
Solution
I built the practice flow around role-specific interviews that close with a concrete, scored breakdown instead of just a transcript.
Role- and Company-Tagged Interviews
Each practice session is tied to a specific company and role, and tagged Mixed or Technical, so the questions reflect what that interview actually covers.
Instant Scored Feedback
Every interview closes with an AI-generated score out of 100 and a written breakdown of what the candidate handled well and where they fell short.
Tech-Stack-Aware Assessment
Each interview card surfaces the specific stack it covered, so feedback stays grounded in the technologies the role actually requires.
A History to Track Improvement
Past interviews live in a running dashboard with their dates, scores, and tags, so a candidate can see whether they're actually improving across repeated attempts.