🛡️ URL Phishing Detection App: App Link

This is a Streamlit-based web application that predicts whether a given URL is legitimate or phishing using a trained Machine Learning model. It helps users identify potentially malicious websites in real time.

🔍 Features

• ✅ Real-time phishing URL prediction
• ✅ Automatic feature extraction from the entered URL
• ✅ Clean and interactive UI built with Streamlit
• ✅ Lightweight and easy to run locally

🚀 Tech Stack

• Python
• Streamlit
• scikit-learn (ML model)
• Pandas, NumPy

⚙️ How to Run the Application

1. Download or clone the repository and open the folder in Visual Studio Code.
2. Open the terminal and install the required packages:

   pip install -r requirements.txt
   
   

🛠️ Setup Instructions

Follow the steps below to run this application on your local machine:

1. Download this repository or clone it using:

   git clone <repository-url>

2. Open it in Visual Studio Code
3. Open New Terminal

• Step:1

  pip install -r requirements.txt
  

• Step:2 Run the Streamlit application:

   streamlit run app.py

• ⚠️ Important Note If you receive an error related to the Lottie file, it might be due to an incorrect file path. Please double-check and configure the correct path to the Lottie JSON file.

• Otherwise, you're all set — enjoy using the app!