anomaly-infra

Create a real-time anomaly detection system for monitoring website traffic using Django and the 'anomaly-infra' package. This mini-app will allow users to input their website's traffic data (e.g., number of visitors per hour) and detect any unusual spikes or drops in traffic that could indicate issues such as server problems, DDoS attacks, or sudden popularity.

Steps to complete this project:
1. Set up a Django project and install necessary packages including 'anomaly-infra'.
2. Design a simple web interface where users can upload CSV files containing hourly website traffic data.
3. Implement a backend service that processes the uploaded data and uses 'anomaly-infra' to identify anomalies in the traffic patterns.
4. Display the detected anomalies on the web interface, highlighting them on a graph alongside normal traffic data.
5. Optionally, implement email alerts to notify administrators about significant anomalies.

Features:
- User authentication to ensure only authorized users can upload and view data.
- A dashboard showing historical traffic data and highlighted anomalies.
- Real-time anomaly detection as new data points are added.
- Email alert functionality for critical anomalies.
- Detailed reports of all detected anomalies for further analysis.

How 'anomaly-infra' is utilized:
- Use 'anomaly-infra' to preprocess the traffic data, ensuring it is clean and ready for analysis.
- Apply anomaly detection models provided by 'anomaly-infra' to the processed data to identify outliers.
- Integrate 'anomaly-infra' into the Django app's backend to automate the anomaly detection process.