College Performance and Ranking Application

Author: Mayank Rathore

📌 Overview

The College Performance and Ranking Application is designed to help students compare colleges based on key parameters such as placement, faculty experience, fees, and average package. It also includes a College Recommendation System that suggests suitable colleges based on user preferences and Machine Learning predictions for ranking analysis.

🚀 Features

• 📊 College Comparison – Compare colleges side by side with detailed insights.
• 🤖 Machine Learning Predictions – Provides ranking based on past trends and analytics.
• 🎯 College Recommendation System – Suggests colleges based on filters like stream, ratings, placement, and fees.
• 📈 Performance Analytics – Visualizes trends using Plotly.
• 🌐 User-Friendly UI – Built with Flask, HTML, CSS (Tailwind/Sass), and JavaScript.

🏗️ Tech Stack

• Frontend: HTML, CSS (Sass), Tailwind CSS, JavaScript
• Backend: Python (Flask)
• Database: CSV Dataset (Can be extended to SQL/NoSQL)
• Machine Learning: KNN, Decision Tree for Recommendation System
• Visualization: Plotly, Matplotlib

📂 Project Structure

📦 College-Performance-Ranking
├── 📁 static              # CSS, JS, Images
├── 📁 templates           # HTML templates
├── 📁 models              # ML models for ranking & prediction
├── 📄 app.py              # Flask backend
├── 📄 dataset.csv         # College data
├── 📄 README.md           # Project documentation
├── 📄 requirements.txt    # Dependencies
└── 📄 config.py           # Configurations

🛠️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/yourusername/college-ranking-app.git
cd college-ranking-app

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Application

python app.py

4️⃣ Open in Browser

http://127.0.0.1:5000/

📌 How It Works

1. Select Colleges – Choose colleges to compare.
2. View Insights – Get details like placement, faculty experience, and fees.
3. ML-Based Predictions – See future performance trends.
4. College Recommendation – Get the best college suggestions.

🔮 Future Enhancements

• ✅ Integrate SQL Database for efficient data management.
• ✅ More ML Algorithms for better ranking and prediction.
• ✅ User Authentication for personalized college recommendations.

💡 Contributing

Contributions are welcome! Feel free to fork the repository and create pull requests.

📜 License

This project is licensed under the MIT License.

✨ Authors

• Mayank – GitHub

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💡 For any queries, feel free to reach out! 🚀