Developed the TED Detection Application for the apache/singa repository, focusing on medical image classification for thyroid eye disease within the healthcare model zoo. Leveraging the Singa deep learning framework and Python, the work established a CPL-based workflow that enables reproducible model training and experimentation. The deliverables included a dedicated application folder containing all necessary Python files, a training script, and a comprehensive README to guide users through setup and usage. This contribution provided a reusable baseline for future medical image classification tasks, demonstrating skills in computer vision, deep learning, and model development while emphasizing clarity, reproducibility, and modular design.