Project 1

Wi-Fi De-authentication Device

An ESP8266-based wireless network monitoring device capable of analyzing Beacon, Deauthentication, and Probe frames in real time.

• Developed wireless frame sniffer targeting Wi-Fi vulnerabilities.
• Supports detection of deauthentication and probe frames.
• OLED notifications for real-time traffic updates.

Project 2

De-authentication Detection System

An embedded wireless security monitoring system built using ESP32 to detect deauthentication attacks and alert users.

• Implements real-time packet capture for IEEE 802.11 frames.
• Generates live alerts for fast security response.
• Increases defense posture awareness in open networks.

Project 3

Forest Fire Prediction System

An AI-based forest fire prediction system using environmental and historical data for risk monitoring and response.

• Visualizes environmental risk dynamically via Heatmaps.
• Sends alerts directly using WhatsApp and Email integrations.
• Utilizes location services on Google Maps for fast responses.