The problem MedARLearn solves

MedARLearn is the gateway to a transformative era in medical education. It's the remedy to the age-old struggle of comprehending the intricacies of the human body. Imagine, no more tedious textbooks or abstract diagrams. With MedARLearn, you step inside the world of medicine with Argumented Reality.

This innovative project redefines how we learn about our own bodies. It takes complex anatomical structures and turns them into a captivating adventure. Whether you're a medical student, a healthcare professional, or just someone curious about the human body, MedARLearn is your portal to a new way of understanding.

Experience anatomy like never before. Dive into the depths of our interactive augmented reality platform and unlock the secrets of the human body effortlessly. Learning becomes engaging, accessible, and unforgettable.

Join us on this journey of discovery, where we reshape the landscape of medical education. MedARLearn is not just a project; it's a passion for knowledge, brought to life through augmented reality.

Challenges we ran into

Challenges: 3D Model Optimization

One significant challenge during the development of MedARLearn was optimizing complex 3D models for smooth performance within the augmented reality environment. These models were crucial for the educational experience but caused lag and reduced user satisfaction.

Solutions:

1. Level of Detail (LOD): We dynamically adjusted model detail based on user proximity.
2. Texture Compression: Optimized texture maps to reduce memory usage.
3. Multi-Threaded Rendering: Distributed rendering tasks across hardware cores.
4. Hardware Acceleration: Explored GPU optimizations.
5. User Feedback: Actively collected user feedback for targeted improvements.

These strategies improved performance and ensured a better learning experience in MedARLearn.