Aim:
This study aims to develop an efficient and scalable system for multi-class classification of URLs into Phishing, Benign, Defacement, and Malware categories using the lightweight and context-aware DistilBERT model.
Aim:
The aim of this project is to propose an efficient, real-time system for automatic classification of coffee bean defects using the YOLOv8 deep learning model.
Ā Ā Ā Ā Ā To develop a high-accuracy breast cancer classification system using an optimized Support Vector Classifier integrated with preprocessing and feature selection techniques.