🤟 Real-Time Sign Language Translator using YOLOv8 This project is a Real-Time Sign Language Translator that uses image detection to interpret sign language gestures. It leverages the power of YOLOv8 from the Ultralytics library for fast and accurate gesture detection.

🔗 GitHub Repository: RT-SignLanguage-YOLOv8

📸 Project Overview 📷 Data Collection: Images of hand gestures were manually captured.

🏷️ Labeling & Processing: Dataset was labeled and processed using Roboflow.

🧠 Model Training: Trained using the Ultralytics YOLOv8 model for real-time detection.

🚀 Features Real-time sign language recognition via webcam

Custom-trained YOLOv8 model optimized for gesture detection

Simple and modular codebase

🧰 Tech Stack Python

OpenCV

Ultralytics YOLOv8

Roboflow (for data preprocessing and annotation)

PyTorch

📦 Installation Clone this repository:

bash Copy Edit git clone https://github.com/cebause01/RT-SignLanguage-YOLOv8.git cd RT-SignLanguage-YOLOv8 Install required dependencies:

Adjust --conf to tweak detection confidence level

📁 Dataset The dataset contains manually captured images of various sign language gestures, labeled and augmented using Roboflow for improved accuracy and performance.

👤 Author Zarif Haikal 📧 [email protected]