WINNER OF THE 2024 PICKHACKS HACKATHON -- Award: Best use of MongoDB Atlas

An advanced, AI-powered website vulnerability assessment tool, all in a compact browser extension

We utilized code for front and back ends, then used APIs to connect them together, all while following US Cyber Laws.

This folder is the main front end of Sentinel Scan which includes the JSON, HTML, CSS, and JavaScript files for the Google Plugin/Extension that works with the neural network and bash script by taking in their output through a flask server.

This code that isn't in the folder comprises of all the code used in the back-end development. This includes the bash and python files used to generate and train the neural network, the .h5 file, which is the fully trained NN with 94% accuracy, the back-end flask server files, and the .csv file, which contains the extracted data from the websites used in training the AI