🎓 WBJEE 2026 Rank vs College Predictor

An aesthetic, AI-driven tool to analyze marks, predict GMR, and suggest top engineering colleges in West Bengal.

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🚀 Overview

The WBJEE 2026 Rank Predictor is a modern, responsive web application designed to help engineering aspirants estimate their General Merit Rank (GMR) based on their actual exam or expected scores.

Beyond simple prediction, it provides a comprehensive dashboard featuring subject-wise analysis, college probability based on previous year cutoffs, and a downloadable PDF report card.

🔗Live Project Link:

[https://wbjee-css.vercel.app/]

✨ Key Features

• 🎯 Precision Rank Algorithm: Uses a power-law regression model (Marks vs Rank) to estimate GMR and Category Ranks (SC/ST/OBC/TFW).
• 📊 Visual Analytics: Integrated Chart.js doughnut chart to visualize the Marks Obtained vs. Marks Lost ratio.
• 🏫 College Matcher: Automatically filters top colleges (Jadavpur, Calcutta Univ, Heritage, Techno Main, etc.) based on the predicted rank and category.
• 🌓 Dark/Light Mode: A toggleable theme with a sleek "Glassmorphism" UI and floating background animations.
• 📄 PDF Export: One-click download of the analysis report using html2canvas and jsPDF.
• ⏳ Exam Countdown: A live countdown timer set for the WBJEE 2026 exam date.
• 📱 Fully Responsive: Optimized for Mobile, Tablet, and Desktop views.

🎨 Aesthetic Palette

The UI is built with a custom cool-tone palette:

• Background: Indigo-Midnight Gradient
• Rank Highlight: Neon Red
• Download Action: Electric Blue
• College/Success: Sea Green
• Accents: Bright Yellow

🛠️ Tech Stack

• Frontend: HTML5, CSS3 (Variables, Animations, Grid/Flexbox), Vanilla JavaScript.
• Visualization: Chart.js (CDN).
• Icons: FontAwesome 6 (CDN).
• PDF Generation: jsPDF & html2canvas.

⚙️ How to Run

Since this project is built using standard web technologies and CDN links, no complex installation (npm/yarn) is required.

1. Clone the repository:

   git clone [https://github.com/Suchetamon27/wbjee-css](https://github.com/Suchetamon27/wbjee-css )

2. Navigate to the folder:

   cd wbjee-rank-predictor

3. Launch:
   • Simply double-click the index.html file to open it in your browser.
   • Optional: Use the "Live Server" extension in VS Code for hot reloading.

🧠 The Logic

The rank prediction is based on a mathematical approximation curve derived from historical WBJEE data trends.

Note: This is an estimation tool. Actual ranks depend on the difficulty of the paper and the number of candidates appearing in 2026.

🤝 Contributing Contributions are always welcome!

Fork the Project.

Create your Feature Branch (git checkout -b feature/NewFeature).

Commit your Changes (git commit -m 'Add some NewFeature').

Push to the Branch (git push origin feature/NewFeature).

Open a Pull Request.

📜 License Distributed under the MIT License. See LICENSE for more information.

🌟 Acknowledgements Cutoff data based on 2024-2025 OR-CR trends.

© WBJEE Predictor @JEE2Med 2026