AI-ML Virtual Intern (AICTE)
As an AI-ML Virtual Intern, I participated in data labeling and annotation projects designed to train machine learning models. I contributed to supervised learning workflows, focusing on labeling retinal images for diabetic retinopathy detection. The role required image classification and validation tasks using Python-based tools and standard annotation procedures. • Labeled medical retinal images to develop early detection models for diabetic retinopathy. • Ensured high data quality through accurate annotation and validation processes. • Collaborated with other interns on dataset management and review tasks. • Applied image analysis techniques and maintained detailed annotation records.