Arabic-Sign-Language-Image-Classification-With-CNN. This project aims to build a robust image classification model to recognize and classify Arabic sign language gestures. Using deep learning techniques and convolutional neural networks (CNNs), the goal is to facilitate communication for the deaf and hard of hearing communities by translating sign language gestures into written Arabic text.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.