AI-powered campus placement readiness tracker to help students prepare for their dream companies.

PlaceReady is a comprehensive placement preparation platform designed for students preparing for campus placements. It helps you:

• Assess your skills and identify gaps
• Compare against company requirements from top tech companies
• Build a personalized study roadmap with AI-powered recommendations
• Track your progress over time
• Prepare with tools like resume builder, ATS checker, and interview Q&A

Built with love for students by students. No account required - everything works locally in your browser.

• Skill Assessment — Track your technical skills with proficiency levels
• Company Matching — Compare your skills against top company requirements
• AI Gap Analysis — Get personalized study recommendations
• Progress Tracking — Save and share your readiness reports
• PWA Support — Installable as a native app

Visit: https://nishantjlu.github.io/placement-tracker/placement_readiness_tracker.html

# Clone the repo
git clone https://github.com/NishantJLU/placement-tracker.git
cd placement-tracker

# Serve with any static server
npx serve .
# or
python -m http.server 8000

1. Go to Settings > Pages
2. Select main branch as source
3. Visit https://nishantjlu.github.io/placement-tracker/

npm i -g vercel
vercel

To enable cloud sync and real AI analysis:

1. Create a Supabase project
2. Get your URL and anon key
3. Update js/cloud-sync.js with credentials
4. Optionally add your OpenAI API key

• Pure HTML/CSS/JS — No framework dependencies
• Google Fonts (Fraunces, DM Sans, DM Mono)
• Supabase (optional cloud sync)
• OpenAI API (optional AI analysis)

1. Fork the repo
2. Create a feature branch
3. Make your changes
4. Submit a PR

MIT — See LICENSE file for details.

• Google Fonts
• Striver's SDE Sheet
• NPTEL