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ResuMatch – Smart Resume Matching with AI

Inspiration

We were inspired by the struggle that many job seekers face when applying for roles — not knowing how well their resume actually matches the job they're applying for. Meanwhile, recruiters are flooded with applications, many of which are not relevant. We wanted to bridge this gap using AI to give candidates instant, actionable feedback.

What It Does

ResuMatch allows users to upload their resume (PDF) and paste a job description. It then analyzes the match using OpenAI’s GPT-4o model and returns:

A match percentage (0–100)
Matched skills
Missing skills

- Personalized suggestions to improve the resume

How We Built It

Frontend: React, TypeScript, TailwindCSS
AI Engine: OpenAI GPT-4o via API
PDF Text Extraction: pdfjs-dist
Component Library: shadcn/ui + Lucide icons
State & UX: React hooks + toast notifications + loading animation We prompt GPT with a structured instruction to return JSON, then parse and display the result in a clean, interactive UI. --- ## Challenges We Ran Into
Extracting clean, accurate text from resumes with unusual layouts
Getting consistent JSON responses from GPT-4o under various resume/job inputs
Balancing responsiveness, accessibility, and design simplicity

- Handling OpenAI API timeouts and providing fallback behavior

Accomplishments That We're Proud Of

Successfully integrated GPT-4o and designed prompts that return well-structured, reliable results
Built a fully functional web app with real-time feedback and clean UI
Helped solve a real-world problem that many job seekers face
Built fallback logic to gracefully degrade if the AI API fails