AI-based cybersecurity threat detection system that identifies cyber threats like phishing and malware using Machine Learning (Random Forest), a Flask API, and a Streamlit UI for real-time attack prediction.
Traditional security systems use static rules and struggle with new threats. This project uses AI to detect patterns dynamically, helping businesses automate threat detection.
- AI/ML: Python, Scikit-Learn, Pandas, Joblib
- Backend: Flask API
- Frontend: Streamlit UI
- Deployment: Render / GitHub
- Clone the repository:
git clone https://github.com/Diya927/AI_sentinel-cyberguard.git cd AI_sentinel-cyberguard