Built with Purpose,
Secured with Intent

12-week self-directed cybersecurity challenge covering network security, vulnerability assessment, cryptography, log analysis, and incident response using professional-grade tools.

Python-based scanner to detect open ports and identify basic system vulnerabilities using automated network probing techniques.

Configured isolated cybersecurity lab using VirtualBox with Ubuntu and Kali Linux for safe testing and experimentation.

Built a packet sniffer to capture and analyze network traffic in real-time using low-level packet inspection techniques.

Developed a tool to evaluate password strength based on complexity rules and provide feedback for improving security.

Built a lightweight IDS to monitor system/network activity and detect suspicious behavior using predefined rules.

Configured firewall rules to filter and control incoming and outgoing network traffic for improved system security.

Python-based tool parsing Ubuntu auth.log and ufw.log. Generates structured JSON reports and visual dashboards using matplotlib/seaborn. Includes IPv6 regex support and PAM authentication event parsing.

Isolated malware analysis environment using VirtualBox VMs — Ubuntu 22.04 as target, Kali Linux as observer on host-only network. Four Python scripts orchestrated by main.py for automated behavioral analysis.

Aggregated threat intelligence data from multiple APIs into a unified system for analysis and monitoring.

Built a security dashboard to visualize and monitor logs and security events in real-time.

Automated detection and response workflows for handling security incidents efficiently.

Conducted a full system security audit including vulnerability scanning, log review, and security assessment reporting.

IoT-powered smart agriculture solution monitoring soil moisture in real time, automating watering, and enabling remote control. Showcased at STEMNNOVATION 2024 and national education platforms.

Healthcare robot delivering medication, monitoring patient vital signs, and integrating scheduling and database features for enhanced patient care in resource constrained environments.