Building PrepAI An AI-Powered Interview Prep Platform with the Gemini API
Why I built this Every time I applied for an internship, I did the same tedious thing: read the job description, guess what interview questions might come up, and google "common interview questions for [role]" — hoping something would stick. I wanted something smarter. Something that actually looked at my resume and the specific job description, and told me exactly where I stood and what to…
I crafted a platform called PrepAI, an AI-driven tool designed to streamline interview preparation. When I sought internships, I consistently encountered the same tiresome process: reading job descriptions, guessing potential questions, and manually searching for common interview queries relevant to the role. This inefficiency inspired me to create PrepAI—a smart career assistant that analyzes your resume alongside a job description, delivering precise insights and actionable steps.
PrepAI functions by uploading your resume and the job description, then extracting the essential skills, experience, and keywords from both. It generates an ATS-style match score, a skill-gap analysis, personalized interview questions tailored to the role, and a structured 7-day preparation roadmap to bridge the identified gaps.
The platform leverages a robust tech stack: React.js for the frontend, Node.js and Express.js for the backend, MongoDB as the database, and the Google Gemini API for analyzing resumes and job descriptions, as well as generating interview questions. The core challenge lay in obtaining consistent, structured output from Gemini. The solution involved explicitly defining the JSON structure in prompts, clearly labeling resume and job description sections, and implementing a backend fallback parse step to handle any extra text Gemini might inadvertently include.
This project taught me valuable lessons in prompt engineering, emphasizing the importance of treating prompts as API contracts rather than mere requests. By applying these principles, I transformed a personal pain point into a functional product.
Looking ahead, I plan to expand PrepAI's capabilities by supporting multiple resume versions, tracking progress through the 7-day roadmap, and introducing mock interview mode with follow-up questions based on user responses. If you're preparing for interviews, I invite you to try PrepAI at prep-ai-navy-nine.vercel.app. Your feedback is invaluable, and I'm eager to address any questions you may have regarding the Gemini integration or the MERN setup.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
