Logo Lanfrica

Mubarekethio/QSCR-App

Domaine:

natural language processing

Type de record:

software
Créateur:
Mub
Hôte:
Qafaraf and Amharic speech command recognition application to use control system like wheelchair using Amharic and qafaraf Voice Commands # Qafaraf and Amharic Speech Command Recognition App (QSCRA) --- ## Table of Contents 1. Introduction 2. Installation Guide 3. Getting Started 4. Features Documentation - 4.1 Home Voice Command Recognition - 4.2 Settings Configuration - 4.3 Bluetooth Connection Management - 4.4 About App Information 5. Architecture Overview 6. API Documentation 7. Troubleshooting 8. FAQs 9. Updates and Version History 10. Support and Contact Information 11. Legal Information 12. Appendix --- ## 1. Introduction Welcome to the documentation for **Qafaraf and Amharic Speech Command Recognition App (QSCRA)**, developed by Mubarek Kebede. QSCRA enables users, especially individuals with physical disabilities, to control wheelchairs using **voice commands** in **Qafaraf** and **Amharic** languages through machine learning and speech recognition technologies. ### Purpose and Goals - Improve accessibility and mobility for individuals with physical disabilities. - Provide intuitive and efficient wheelchair control via voice commands. - Support local languages to ensure inclusivity. ### Target Audience - **Individuals with Physical Disabilities**: Enhance independence and autonomy. - **Caregivers & Healthcare Professionals**: Assist patients with mobility tasks. - **Developers & Researchers**: Explore ML and assistive technologies. - **Accessibility Advocates**: Promote inclusive technology adoption. --- ## 2. Installation Guide ### System Requirements - **Android Device**: Android 5.0 (Lollipop) or higher. - **API Level**: 21 or higher for TensorFlow support. - **Storage**: Sufficient space for app and TensorFlow library. - **Memory (RAM)**: Adequate RAM recommended for performance. - **Processor**: CPU compatible with NNAPI for hardware acceleration. ### Download & Installation #### From GitHub 1. Visit QSCRA GitHub Releases. 3. Download the APK here to your device. 4. Open the APK via your file manager and follow on-screen prompts. 5. Launch the app from the home screen or ap …