A platform called The College Social Media was created, allowing all stakeholders, including parents and students, to stay connected under one roof. The platform was developed using HTML, ChakraUI and NextJS, with user data stored on the MongoDB Atlas database.

This project looks to detect Ransomwares using different Machine Learning Algorithms like Random Forest (RF), Naïve Bayes (NB), Decision Tree (DT), Logistic Regression (LR), Neural Network (NN) by taking the historical data that will predict presence of malware in given set of files. The dataset used for this purpose is from the popular data set platforms like Kaggle, UCI Machine Learning Repository, AWS Public Datasets and Google’s Dataset Search Tool. Concluding comparison of the accuracy of the models used and then use the most accurate algorithm for detection of Ransomware. The decision tree comes as most accurate algorithm with accuracy 99.19% and least accusrate was Naïve Bayes with accuracy 69.70%.