Know your college better!

This comprehensive project is designed to assist students in predicting their NIRF and SS scores based on various parameters. The project utilizes advanced machine learning techniques to provide accurate predictions, helping students make informed decisions about their academic paths. This project demonstrates the power of data science in education, showcasing how machine learning can be applied to real-world scenarios. The project is a valuable resource for students, educators, and institutions alike, providing insights into the factors that influence NIRF and SS scores. The project is built using Python and various libraries, including Pandas, NumPy, and Scikit-learn, ensuring a robust and efficient implementation. The user-friendly interface allows for easy interaction with the prediction models, making it accessible to users with varying levels of technical expertise.