Artificial Intelligence

Sign Language Recognition App

A camera-based application that recognizes hand signs and presents their Arabic meaning with confidence scores.

Technologies used
  • Flutter
  • Python
  • Machine Learning
  • Data Analysis
Sign Language Recognition App

Project overview

The project combines computer vision and mobile applications to deliver an assistive tool that captures hand gestures and extracts key features using MediaPipe. These features are then passed to a trained AI model for categorization, and the result is displayed to the user within the application, providing a practical example of assistive technologies and interactive learning.

Key features

  • Capture the signal from the camera.
  • Detect hand features.
  • Classify the signal using artificial intelligence.
  • Display the result and confidence level.
  • Run the model within the mobile application.
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