JamesMungai254/kenya-sign-language-detection-app-application

# 🤟 Kenyan Sign Language Detection Application A real-time Kenyan Sign Language (KSL) detection and translation system powered by Machine Learning, OpenCV, and MediaPipe Hand Landmarker. The application detects Kenyan Sign Language gestures from a webcam feed, translates them into text in real time, converts text into speech, and supports text-to-sign translation using pre-recorded sign videos. ## 🚀 Features * ✅ Real-time KSL gesture detection * ✅ Live webcam prediction * ✅ Sign-to-text translation * ✅ Text-to-speech conversion * ✅ Text-to-sign video translation * ✅ MediaPipe Hand Landmarker integration * ✅ Machine Learning gesture classification * ✅ streamlit web application * ✅ CPU optimized for low-powered laptops --- ## 🧠 Technologies Used * Python 3.10+ * streamlit * OpenCV * MediaPipe Tasks API * Scikit-learn * XGBoost * NumPy * pyttsx3 Research and implementation were inspired by real-time sign language detection systems and pose-based gesture recognition pipelines. ([arXiv][1]) --- # 📂 Project Structure ```bash kenya-sign-language-detection-app-application/ │ ├── app.py ├── videos/ │ ├── agreement/ │ │ └── sign1.mp4 │ ├── good/ │ └── bad/ │ ├── model_config.pkl ├── label_encoder.pkl ├── mean.pkl ├── std.pkl ├── hand_landmarker.task ├── requirements.txt └── README.md ``` --- # ⚙️ Installation Guide ## 1️⃣ Clone Repository ```bash git clone github.com ``` Or visit: Kenya Sign Language Detection Application Repository --- ## 2️⃣ Create Virtual Environment ### Windows ```bash python -m venv venv venv\Scripts\activate ``` ### Linux / Mac ```bash python3 -m venv venv source venv/bin/activate ``` --- ## 3️⃣ Install Dependencies ```bash pip install -r requirements.txt ``` If `requirements.txt` is missing: ```bash pip install streamlit pip install opencv-python pip install mediapipe pip install numpy pip install scikit-learn pip install xgboo …