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survailence

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CORTEX ANOMALITY DETECTOR empowers organizations to proactively identify threats and anomalies in real time, ensuring trust and safety at the highest standard. The project focused on identifying irregularities within datasets or systems. Built primarily with HTML.

  • Updated Mar 23, 2026
  • HTML

EyeNet is a camera-first, real-time surveillance system intended for campus / institutional environments. It continuously processes a live video feed and converts computer-vision detections into actionable incidents: persisted audit records, real-time dashboards, and automated notifications.

  • Updated May 31, 2026
  • Python

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