Sign_Language_To_Text

An AI-powered desktop application that translates sign language gestures into text in real time using Computer Vision and Machine Learning.

Note: The source code is kept private to protect the project implementation and model architecture.

Technologies Used

• Python
• Machine Learning
• Deep Learning (LSTM)
• Computer Vision
• MediaPipe
• PyTorch
• Tkinter GUI

Features

• Real-time hand tracking using webcam
• Hand landmark detection with MediaPipe
• Sign prediction using a trained LSTM model
• Interactive modern GUI interface
• Sentence building with detected characters
• Confidence tracking and live skeleton visualization

What I Worked On

• Training the model
• Preparing and processing the dataset
• Building the full application interface
• Integrating AI prediction with live video feed

Project Impact

This project helped me strengthen my skills in AI, accessibility technology, machine learning, and software development.

Screenshots

Accessibility & Inclusion

This project aims to support accessibility and improve communication through sign language recognition technology.