Build an AI-powered Interview Preparation app as a single-page website using Streamlit (Python) or Next.js (JavaScript) in VS Code or Cursor. Integrate the OpenAI API, create a system prompt, and design prompts for interview preparation. The app can generate interview questions, practice exercises, analyze job descriptions, or simulate interviews. Experiment freely and use resources like ChatGPT or StackOverflow if needed.
You will build your own Interview Preparation app. I would imagine that you have participated in several interviews at some point. You have been asked questions. You were given exercises or some personality tests to complete. Fortunately, AI assistance comes to help. With it, you can do pretty much everything, including preparing for your next dream position. Your task will be to implement a single-page website using VS Code (or Cursor) editor, and either a Python library called Streamlit or a JavaScript framework called Next.js. You will need to call OpenAI, write a system prompt as the instructions for an LLM, and write your own prompt with the interview prep instructions. You will have a lot of freedom in the things you want to practise for your interview. We don't want you to put it in a box. Interview Questions? Specific programming language questions? Asking questions at the end of the interview? Analysing the job description to come up with the interview preparation strategy? Experiment! Remember, you have all of your tools at your disposal if, for some reason, you get stuck or need inspiration: ChatGPT, StackOverflow, or your friend!
Builds a day-by-day exam revision timetable from your exam dates, subject weights and confidence. Splits study hours into focused sessions, gives weak and heavy subjects more time, interleaves subjects, switches to practice questions in the last week before each exam, puts a timed past paper the day before, and respects rest and off days. Flags too few sessions per topic and back-to-back exams. Includes a stdlib Python planner with --self-test.
Compares an OpenAPI YAML/JSON spec to a list of implemented routes and flags drift: missing operations, extra routes, method mismatches, and path-parameter shape differences. Use when reviewing API PRs, before a release, or asking "does our code still match the OpenAPI?". Includes a stdlib Python checker with --self-test.
