Cervical-Sight uses a deep learning technique based on convolutional neural networks to enable the automated analysis of cervical fluid-based cytopathic images. It allows rapid screening, detection of microbial infections, and has the ability to locate and classify diseased cells according to TBS guidelines. Diagnosis is made through intelligence analysis and ultimately generates test reports.