Detection of Phishing Websites Using IBM Watson

In this project we have used Artificial Neural Networks(ANN) to train a model that can predict if a website is legitimate or phishing. Model trained using IBM Cloud Services and we have acheived over 98% accuracy and deployed it using a Flask Application.

Instructions for API

In app.py file on line 32 enter your IBM Watson API key

Team Members

Ambuj Gupta (19BCE0366)
Karan Rochlani (19BCE0383)

Demo Video Link

https://drive.google.com/file/d/13-SjGuaYG8ZK34ltXTSoAPUTb2vNpsya/view?usp=sharing

Project Drive Link

https://drive.google.com/drive/folders/1PFQBYgnNgl9VfmS8vbrZi9v3yGYgmDDr

Libraries Used

Tensorflow
Keras
FLask
Numpy
Matplotlib

Languages/Libraries used for Website Building

HTML
CSS
Python
Bootstrap

Applications Used

IBM Cloud
IBM Watson Studio
Jupyter Notebook
Spyder
Visual Studio Code

About

Languages

Language:Jupyter Notebook 61.0%Language:CSS 30.4%Language:HTML 3.3%Language:Python 2.8%Language:JavaScript 2.6%