OSCAR ARIHIHKWIZA@oscararihihikwiza59426

Events attended

Submissions made

Uganda

1 year of experience

About me

My name is Oscar Arihihikwiza I am a Computer Science student and AI enthusiast passionate about building intelligent systems that solve real-world problems. My interests span Artificial Intelligence, Machine Learning, Computer Vision, Cloud Computing, IoT, and Full-Stack Web Development. I enjoy developing scalable applications using Python, PHP, JavaScript, MySQL, Flutter, and modern AI frameworks. I have worked on projects involving student information systems, network simulations, smart agriculture, and AI-powered automation. My current focus is leveraging AMD Developer Cloud to build high-performance AI applications that combine computer vision, machine learning, and edge intelligence to improve productivity in agriculture and other industries. Through this hackathon, I aim to collaborate with innovative developers, learn from the community, and build impactful solutions that demonstrate the power of open AI technologies and accelerated computing. "Technology creates the greatest impact when it solves real problems for real people."

Socials

🤝 Top Collaborators

TUSIIME Eriya

Lameck Opio

🤓 Latest Submissions

MediCast: Autonomous Surgical Intelligence

Medical error is the third leading cause of death globally, and surgical complications account for a massive percentage of hospital liability. MediCast is an autonomous, computer vision-driven SaaS co-pilot engineered to fundamentally de-risk the operating room. Built exclusively for the AMD Developer Hackathon, it transforms opaque surgical video feeds into structured, actionable clinical intelligence in real-time. The Unicorn Pitch: Why MediCast Wins Proactive Risk Mitigation: A concurrent multi-agent swarm (Safety, Anatomy, and Phase Agents) autonomously monitors live surgical feeds, identifying critical safety deviations and anatomical hazards before they become fatal errors. Zero-Footprint Scalability: Hospitals refuse to install massive, expensive GPU servers in sterile environments. MediCast circumvents this entirely. By leveraging AMD Instinct™ GPUs in the cloud via the Fireworks AI API, we deliver blazing-fast inference directly to the OR with zero local hardware required. Gemma-Powered Clinical Debriefing (Bonus Track): We engineered our post-op AI Arbiter exclusively on Google’s Gemma 2 (gemma2-9b-it). It mines the structured surgical data to generate automated clinical reports and allows surgeons to interactively "chat" with their own procedures for unprecedented post-op quality assurance. Commercial Readiness: Complete with a secure, HIPAA-styled SSO gateway, real-time WebSockets, and a premium React dashboard, MediCast isn't a prototype it’s a deployable product ready for clinical pilot. By fusing AMD's massive compute throughput with the Fireworks AI API and Gemma 2, MediCast doesn't just analyze surgery it makes it safer, trackable, and instantly reviewable

Hackathon link

13 Jul 2026

👉 Upcoming Hackathons

AMD Developer Hackathon: ACT II

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

2026 Jul 6