Mubarekethio/QSCR-App
Domain:
natural language processingRecord type:
software
Creator:
Mub
Host:
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)
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## 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
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## 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.
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## 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 …