Hackathons

SlayTheInterview

A mock-interview app built at SBUHacks where we won Best Overall; I built the backend, MongoDB integration, voice-to-text, and AI question generation.

Winner: Best Overall Stony Brook University · SBUHacks · 2024

• Flask
• MongoDB
• Speech Recognition
• Python
• OpenAI
• React

Overview

We built a classic interview preparation app at Stony Brook University during SBUHacks, where we won Best Overall for execution and functionality. I worked on implementing voice-to-text on the frontend, setting up the backend, integrating AI features, and connecting the app to MongoDB for data storage.

What I built

Although this type of app is very popular now, it wasn’t as well known when we built it. It’s a platform for mock interviews tailored to the jobs users plan to apply for. The idea came from Nelson Wang, who also orchestrated the app’s core logic.

The concept is straightforward: users enter the job they’re preparing for and can even paste the job description. The AI then generates mock interview questions, and users respond by recording their answers. Afterward, the app analyzes their responses and provides feedback on what they could improve.

We worked as a team of four, and my role was connecting the backend to MongoDB, setting up the database, implementing speech-to-text on the frontend, and integrating the OpenAI API to generate questions.