jawwad2723/CyberAttackPrediction

🛡️ AI-Powered Threat Detection & Response

This project demonstrates a machine learning model trained on CICIDS2017 dataset to detect network attacks in real-time.

Features

• —Upload CSV of network traffic features
• —Predict whether traffic is Benign or Malicious
• —See confidence scores for each attack type
• —Visualize distribution of predictions

Tech Stack

• —Python
• —Scikit-learn for ML
• —Streamlit for frontend
• —Hugging Face Spaces for hosting

How to Use

1. 1.Upload a .csv file with network traffic features (preprocessed).
2. 2.The model will classify the traffic into categories like BENIGN, DDoS, PortScan, etc.
3. 3.Results + charts will appear on the dashboard.