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Inspiration

Many people have a difficult time breaking into tech careers. Whether it be for Software Engineering, Data Science, or Product Management roles there exists a ton of consistent practice to get through the interview process and land a job. That’s why we built InterTech (pronounced like EnterTech) -- an AI powered-interview prep platform tailored to your needs and helps users improve upon their skills.

What it does

InterTech is an AI-powered interview prep platform designed to help candidates practice both behavioral and technical interviews. Users can choose between two modes: in behavioral mode, the AI asks 3–5 common interview questions, records responses, and provides personalized feedback with a performance score; in technical mode, users get coding questions tailored to their career role and skill level, similar to LeetCode. The platform also stores past interviews so users can track progress over time. Our goal is to make interview prep smarter, more interactive, and tailored to each individual’s growth.

How we built it

  • Frontend: React + TypeScript, React-bootstrap
  • Backend: Python + Flask
  • AI Agent: Ollama, LangGraph

Challenges we ran into

  • Connecting the Behavioral Backend to the Frontend

Accomplishments that we’re proud of

  • We have a working Behavioral backend that actually records and respond.
  • An aesthetic Frontend page built with React.

What we learned

Learning new technologies like TypeScript.

What’s next for InterTech

Implement the Technical part of the platform.

DevPost:

https://devpost.com/software/intertech

Project Slides

https://docs.google.com/presentation/d/1JNzVTUV7i1IQn0REZA7n493y-PY3a8UNDru7LCQ9uxc/edit?usp=sharing

How to Run

Backend Frontend

About

CUNY Tech Prep Hackathon Project (Won Best SWE Practice Track)

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