How an AI‑Powered Interview Simulator Can Boost Your Job Prep

AI Interview Simulator is a web‑based application designed to enhance users’ interview preparation by providing thorough, real‑time feedback.

The tool leverages artificial‑intelligence models to analyze spoken answers captured via the device’s camera and microphone, delivering constructive suggestions for improvement.

Demo: https://interview.nicobytes.com/

Source code is available on GitHub: https://github.com/nicobytes/interview-cloudflare-ai

Motivated by personal job‑search challenges, the author built the simulator to generate role‑specific questions, record video responses, and simulate realistic interview conditions.

Technical stack: the front‑end is built with Angular, styled with Tailwind CSS and uses Angular CDK components; the back‑end runs on the lightweight JavaScript framework HonoJS and integrates LangChainJS to manage interactions with large language models.

Infrastructure relies on Cloudflare’s ecosystem: Cloudflare Pages for hosting, Cloudflare Workers for edge functions, @cf/openai/whisper for automatic speech recognition, @cf/meta/llama-2-7b-chat-fp16 for text generation, and openai‑tts for text‑to‑speech. Data is stored in Cloudflare R2 with D1 providing a scalable database for chat memory and other data.

Automatic Speech Recognition: @cf/openai/whisper

Text Generation: @cf/meta/llama-2-7b-chat-fp16

Text‑to‑Speech: OpenAI TTS

Cloudflare AI Gateway

The simulator offers a unique product that mimics real interview scenarios, giving users valuable feedback and insights to improve performance, practice common questions, enhance communication skills, and build confidence in a risk‑free environment.