From hands-on training to AI-driven diagnostics and hardware deployment — explore how DCHIPP builds skills and solutions for the future of healthcare technology.
Hands-on internship opportunities for students and early professionals to work on real AI healthcare projects alongside our research team.
Practical, project-based training in AI, computer vision, and medical image processing designed to build real-world technical skills.
Deep learning models trained on real clinical datasets to detect early signs of disease and support faster, smarter diagnostic decisions.
Deploying trained AI models onto FPGA hardware for fast, efficient, low-power inference suited for point-of-care medical devices.
End-to-end System-on-Chip design and development, integrating AI acceleration directly into custom hardware for scalable diagnostic devices.