Generative AI in Red Team vs. Blue Team Simulations, Present, Designed and implemented generative AI models, increasing attack detection accuracy by 35% and reducing response time by 20 minutes., Enhanced red team strategies by creating and testing 50+ custom attack vectors, improving simulation realism by 30%., Analyzed 2 TB of network data, refining AI models and boosting blue team training efficiency by 25%. Smart Bus Allocation System Using IoT for Demand-Based Optimization, 12/20, Developed an IoT-based solution that utilized smart sensors to monitor real-time passenger occupancy across 20+ buses, optimizing bus allocation based on demand and reducing overcrowding by 35%., Designed and implemented a centralized alert system that automatically notified the control center of overcrowded buses, enabling faster deployment of additional buses from low-occupancy areas within 10 minutes., Improved resource utilization by 40% by dynamically reallocating buses, minimizing fuel consumption and cutting operational costs by 20% within a limited budget., Conducted extensive testing across three different routes, achieving 95% accuracy in detecting overcrowding and ensuring optimal bus availability during peak hours. Phishing Awareness and Prevention Project, 01/20, Designed and delivered awareness training to 50+ users, teaching them how to identify phishing emails, suspicious links, and social engineering tactics., Created step-by-step guides on preventing phishing attacks, covering common red flags such as fake login pages, suspicious domains, and urgent requests for personal information., Conducted mock phishing campaigns, with a 30% reduction in users clicking on suspicious links after training sessions., Improved overall cybersecurity hygiene by promoting safe browsing practices, multi-factor authentication (MFA), and email security measures.