Project Omnis: AI Threat Prediction

Developed as a submission for the Smart India Hackathon (SIH) 2025. Project Omnis is an AI-driven platform that ingests raw server logs and predicts vulnerability exploitation paths.

The Machine Learning Model

We trained an anomaly detection model using Isolation Forests and Autoencoders on standard Apache/Nginx logs combined with OSSEC alerts.

Feature Engineering: Extracted IP geolocation, request frequency, user-agent entropy, and payload signatures.

Inference Speed: The model evaluates new log entries in < 5ms.

Dashboard & Visualization

The frontend is a dark, terminal-inspired React application that visualizes threat vectors on a global map and provides actionable mitigation commands.

Verified Outcome

Omnis flags anomalous access patterns that may indicate lateral movement, trained on Apache/Nginx logs combined with OSSEC alerts.

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