This project is focused on spam image classification, utilizing Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) for accurate image classification. It includes a frontend interface for users to upload and classify images. The project aims to identify and filter out spam images from the user-provided data.
Key features:
- Image classification using ANN and CNN.
- User-friendly frontend for image upload and classification.
- Training and evaluation of machine learning models.
- Data preprocessing and augmentation.