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<p>NASA Space Apps Challenge 2025 winner. Complete satellite constellation with CAD model, simulated data, and working dashboard comparing against NASA FIRMS satellites.</p>
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<p>NASA Space Apps Challenge 2025 winner. FLARESat helps students and citizen scientists explore wildfire activity through a satellite-inspired dashboard that compares simulated detections with NASA FIRMS data. The project combines a CAD-modeled constellation concept, data pipeline prototypes, and an interactive web interface for rapid situational awareness.</p>
<p>Autonomous vessel for NATO's Bold Machina 2025. Features YOLOv8 computer vision, LUA navigation, and Fusion 360 CAD design.</p>
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<p>Built for NATO Bold Machina 2025, this unmanned surface vessel prototype supports safer maritime testing by automating obstacle detection and waypoint navigation. It combines YOLOv8-based perception, LUA-driven mission logic, and Fusion 360 hardware modeling for a practical research platform used by defense innovation teams.</p>
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<spanclass="tag">Autonomous Systems</span>
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<spanclass="tag">Computer Vision</span>
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<h3>Automotive Privacy Assessment</h3>
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<p>TigerSec Laboratory research analyzing automotive data collection practices and security protocols for major automotive companies.</p>
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<p>This TigerSec Laboratory project evaluates what connected vehicles collect, how long data is retained, and where policy language can mislead everyday drivers. The analysis helps researchers and stakeholders compare privacy risk across manufacturers and identify concrete improvements for safer data governance.</p>
<p>ML system using balanced random forest classification. Achieved 60% true positive rate with less than 13% false positives.</p>
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<p>Developed for the PhysioNet Challenge, this machine learning workflow screens 12-lead ECG data for signs of Chagas disease in settings where specialist review is limited. The model reached a 60% true positive rate with fewer than 13% false positives, providing a strong baseline for more interpretable clinical models.</p>
<p>AI-powered campus scavenger hunt with real-time GPS tracking and intelligent hint system for enhanced user experience.</p>
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<p>Death Valley Dash is an AI-assisted campus scavenger hunt that helps first-year students and event participants learn their way around Clemson through location-based challenges. Real-time GPS progression and adaptive hints keep teams moving while reducing the frustration of getting stuck at unfamiliar landmarks.</p>
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<spanclass="tag">AI</span>
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<spanclass="tag">GPS Tracking</span>
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<spanclass="tag">Game Development</span>
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<ahref="#" class="btn btn-primary">View Demo</a>
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<h3>Security Breadcrumbs</h3>
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<p>OSINT research tool that found 75.5% of LinkedIn profiles posed security risks, with 12% classified as high-risk.</p>
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<p>Security Breadcrumbs is an OSINT workflow that shows how small public profile details can combine into actionable security exposure. It was used to classify LinkedIn-based risk patterns, finding that 75.5% of sampled profiles presented concerns and 12% met high-risk criteria relevant to OPSEC training.</p>
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<spanclass="tag">OSINT</span>
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<spanclass="tag">Security Research</span>
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<h3>PlotToPlate</h3>
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<p>Community-driven web platform reducing food waste through connection, sharing, and collaborative gardening. Features community donation forum, garden management system, and gamification.</p>
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<p>PlotToPlate is a community web platform that reduces local food waste by connecting gardeners, neighbors, and donation hubs in one workflow. Users can track what is growing, share surplus produce, and coordinate pickups through a forum and lightweight garden management tools.</p>
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