Compliance Copilot addresses one of the biggest challenges in financial crime operations: alert fatigue caused by high false-positive rates in transaction monitoring systems. Compliance teams often receive thousands of alerts weekly, making it difficult to quickly identify truly suspicious behavior. This project introduces an AI-powered alert triage system that combines deterministic, auditable risk scoring with generative AI explanations. Each transaction alert is evaluated using transparent risk signals such as transaction amount deviation, behavioral patterns (velocity and burst activity), and geographic corridor risk. Alerts are scored on a 0–100 scale and classified as High, Medium, or Low risk. A local large language model is then used to generate concise, analyst-ready explanations that clearly summarize why an alert was flagged and recommend next investigative steps. This approach preserves explainability and regulatory trust while significantly reducing manual review effort. By collapsing large alert volumes into a small set of high-confidence cases with clear reasoning, Compliance Copilot demonstrates how AI can improve operational efficiency, decision quality, and regulatory readiness in real-world compliance workflows. All data used is synthetic and the system is designed to integrate easily into existing monitoring pipelines.

BloodScan leverages cutting-edge AI to analyze blood smear images, offering precise reports on white blood cells (WBC), red blood cells (RBC), platelet counts, and early detection of conditions such as anemia. Its core innovation lies in providing fast, cost-effective diagnostics without the need for expensive lab equipment, enabling healthcare providers in remote, underserved, or war-torn areas to deliver essential services. The platform is designed with scalability in mind, aiming to expand its capabilities beyond anemia detection to other critical blood tests, such as infection markers, blood cancers, and clotting disorders. Future updates may include additional features like real-time analysis of metabolic health, hemoglobin levels, and rare blood condition detection. By integrating with mobile devices and cloud computing, BloodScan ensures accessibility and reliability. This first-of-its-kind solution addresses a global challenge and sets the foundation for a comprehensive AI-driven diagnostic ecosystem that could transform how blood tests are conducted worldwide.

🚀 Tap into OpenAI's models for diverse app needs: text and image generation, text-to-speech, vision, and more! 🧑🏻‍💻 Go one step further. Get your application ready for production using TruLens evaluations! 🤝 Work in teams of 1 to 6 members, fostering community connections! 🏆 Prize Pool: $2,500 in Cash and $2,500 in Portkey Credits! 💡 Extend beyond the Hackathon—build your startup with support and opportunities beyond the initial project.

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🕒 2 days to dive into this transformative healthcare technology challenge! 🏝️ Join us onsite in Honolulu, Hawaii for an exciting hybrid hackathon experience! If you can't be with us in person, no worries—you can still participate and contribute online. 💡 Leverage AI, data analytics, and cloud computing to create innovative solutions that improve healthcare outcomes in Hawaii and beyond. 🤝 Compete solo or team up with diverse healthcare, tech, and academia innovators. 🏆 Stand a chance to win amazing prizes and make an impact!