QuickApply.AI

QuickApply.AI is an AI-powered platform that scans resumes, boosts ATS scores, auto-applies to jobs using browser automation, and prepares candidates with AI mock interviews.

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🚀 QuickApply.AI

Inspiration

Applying for jobs today is frustrating, repetitive, and extremely time-consuming. Students and job seekers spend hours filling out the same forms repeatedly, only to get rejected silently by ATS systems before a human recruiter even sees their resume.

We wanted to solve this pain point by building an intelligent platform that could automate the entire process — from resume optimization to job applications and interview preparation — all inside one futuristic dashboard.

That idea became QuickApply.AI.

What it does

QuickApply.AI is an AI-powered autonomous job application platform that helps users:

  • Upload and parse resumes instantly
  • Calculate ATS compatibility scores
  • Auto-fill profile information using AI
  • Edit resumes live inside a preview window
  • Auto-apply to jobs using Puppeteer automation
  • Stream real-time browser activity logs using SSE
  • Generate application proof screenshots
  • Practice AI-powered mock technical interviews

Our goal was simple:

“Stop Filling Forms. Start Getting Interviews.”

How we built it

Frontend

We built the frontend using:

  • React + Vite
  • Tailwind CSS / Custom CSS
  • Framer Motion for animations
  • Glassmorphism + cyberpunk inspired UI

The interface was designed like a futuristic HUD dashboard to make the platform feel modern and immersive.

Backend

The backend stack includes:

  • Node.js
  • Express.js
  • MongoDB Atlas
  • Puppeteer
  • Google Gemini API

Core Workflow

  1. User uploads a PDF resume
  2. Backend extracts text from the PDF
  3. Gemini AI converts it into structured JSON
  4. ATS score + strengths + weaknesses are generated
  5. User edits resume live inside preview mode
  6. Puppeteer launches Chromium and auto-fills job forms
  7. Live logs are streamed using Server-Sent Events (SSE)
  8. Screenshot proof is generated after successful submission
  9. AI interviewer conducts mock interviews and returns a scorecard

Challenges we faced

⚡ Real-time Streaming

Implementing live terminal-style logs with SSE was challenging because we needed smooth low-latency updates between the Puppeteer automation process and the frontend UI.

📄 Resume Parsing

Resumes come in many different formats, so extracting clean structured data consistently from PDFs required multiple parsing strategies and AI prompt tuning.

🤖 Browser Automation

Automating dynamic forms using Puppeteer was difficult because different websites have different layouts, validations, and upload behaviors.

🎨 UI/UX Design

We designed QuickApply.AI as a futuristic AI command center inspired by cyberpunk HUD interfaces rather than traditional job portals. Building the neon-glow dashboard while keeping the experience responsive, readable, and user-friendly required multiple frontend iterations and animation optimizations.

What we learned

During this project we learned:

  • Advanced Puppeteer browser automation
  • Real-time communication using SSE
  • AI prompt engineering with Gemini
  • Resume parsing and ATS optimization logic
  • Building scalable React dashboards
  • Managing complex frontend-backend workflows

Most importantly, we learned how AI can genuinely reduce repetitive work and improve the job search experience.

Future Plans

We plan to expand QuickApply.AI with:

  • LinkedIn and Naukri integrations
  • Smart job recommendation engine
  • AI-generated personalized cover letters
  • Multi-company application pipelines
  • Voice-based AI interviews
  • Real company portal automation

Tech Stack

Frontend:
React + Vite + Tailwind CSS + Framer Motion

Backend:
Node.js + Express.js + MongoDB Atlas

AI & Automation:
Google Gemini API + Puppeteer + SSE

⚡ QuickApply.AI

“Your Autonomous AI Career Copilot”

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