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🖐️ Real-Time Chichewa Sign Language Detection (MediaPipe-Only)

A rule-based hand gesture recognition system for Chichewa Sign Language , built using MediaPipe Hands for real-time sign detection from webcam input.

🎯 Goal : To recognize basic Chichewa sign language gestures using only MediaPipe — no deep learning model, no training required. 🟣 Designed with a purple theme to reflect Malawian cultural aesthetics and inclusive design principles. 🔍 Features

✅ Real-time hand gesture recognition
🧠 Rule-based classification using MediaPipe landmarks
📺 Webcam feed is hidden by default for improved performance
📥 Accumulates recognized characters into words/sentences
🌍 Focused on Chichewa , Malawi’s national language
🟣 Stylish UI with accessibility in mind
📁 Simple structure – easy to understand and extend

🧩 Technologies Used MediaPipe

Hand landmark detection Flask

Backend web server OpenCV

Image processing and webcam handling HTML/CSS/JavaScript

Frontend interface Python 3.9+

Programming language and runtime

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Real-time Chichewa Sign Language recognition system using MediaPipe and rule-based logic.

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