Browser-based educational project that explains how wireless attacks and defenses cut across the TCP/IP stack through guided case studies, diagrams, and defensive analysis.

• Focuses on jamming, wireless sniffing, rogue or fake access points, and LTE or 5G exposure paths.
• Maps each scenario to affected layers, security properties at risk, visible information, and reasonable mitigations.
• Built as a defensive teaching resource for networking and security coursework.

Full-stack LTE lab deployment + controlled RF disruption analysis. Focused on measurable impact and detection.

• Deployed EPC/eNB/UE using srsRAN containers and executed UDP/TCP throughput tests via iperf.
• Simulated targeted downlink/uplink RF jamming and evaluated gain vs packet-loss behavior.
• Developed a UE-side detection script for real-time jamming identification (operator-friendly output).

• Lead co-author: primary research, methodology design, and manuscript development.
• Analyzed data, validated findings, and mapped security implications for IoT and next-gen wireless.

• Autonomous CyBot for indoor payload delivery with GUI-based UART/WiFi interaction.
• BFS navigation + obstacle detection/avoidance using ultrasonic and infrared sensors.

• Building official club website; responsive UI components and dynamic content features.
• Improved accessibility, event promotion, and member engagement.