// PROJECT · Completed · Feb 2025
Echo Interview
AI mock-interview app that generates role-specific questions and feedback.
Full-Stack Developer and AI Integration Lead
Overview
Echo Interview is a functional, AI-driven mock interview web application developed during a hackathon to demonstrate how adaptive, role-specific interview preparation can be powered by large language models. Although not deployed publicly, the system is fully operational within a development environment and integrates end-to-end AI question generation, evaluation, and real-time feedback.
What I did
- Built an AI mock-interview web app in which Gemini generates role-specific questions from a resume and job description and gives real-time feedback.
- Led the AI integration: Next.js API routes, Gemini integration, prompt templates, a resume parser, and retry/fallback logic.
- Delivered a fully operational prototype in a development environment; it was never deployed publicly.
Team
Team of 2.
Stack
- Next.js
- TypeScript
- React
- Tailwind CSS
- Gemini API
- Prompt Engineering
Timeline
Real-time AI feedback loop
Analyzes user responses and provides immediate, targeted feedback to improve performance.
Adaptive interview question generation
Automatically generates interview questions tailored to the user's background and target role using Google's Gemini AI.
Hackathon prototype architecture
Developed collaboratively during a hackathon as a rapid prototype demonstrating applied AI and full-stack integration skills.
Gallery
The team with the Echo Interview welcome screen, from the Devpost submission. 
Interview loop: Gemini builds user context from the profile, then generates, grades and re-asks questions until the final score. 
Project banner from the Devpost page.