Category : AI Model

Client : My university Project

Description : Created a machine learning system to detect and classify menstrual abnormalities, assisting healthcare professionals in early diagnosis. The model analyzes patterns in medical data to identify potential health concerns.

Technologies : Python, TensorFlow, PyTorch, NumPy, Pandas, OpenCV, scikit-image and yolo

Accuracy : 92%

Abnormality Types : 7

Specificity : 97%

Project URL : GitHub Repository

Project date : 2025/07/31