This project is a Network Anomaly Detector designed to identify and analyze unusual network activities. It includes a backend for processing network data, a frontend for visualization, and various utilities for scanning and analyzing network logs.
- Backend: Python-based backend for network scanning and anomaly detection.
- Frontend: Interactive dashboard for visualizing network anomalies.
- Data Analysis: Tools for analyzing network logs and identifying potential threats.
Below are some screenshots of the frontend:
- Clone the repository:
git clone https://github.com/vedantlavale/network-anomaly-detector.git
- Navigate to the project directory:
cd network-anomaly-detector - Install dependencies:
pip install -r requirements.txt
- Start the backend server:
python backend/app.py
- Open the frontend in your browser:
http://localhost:5000
Contributions are welcome! Please fork the repository and submit a pull request.
This project is licensed under the MIT License.



