AfricaVoiceAI is an innovative AI-powered chatbot leveraging NLP and voice recognition to enable seamless communication in Hausa. With features like voice cloning, real-time translations, and multilingual support, it bridges language gaps, empowering education, business, and cultural connections across Africa.
# AfricaVoiceAI
AfricaVoiceAI is an innovative AI-powered chatbot designed to revolutionize communication in Hausa-speaking communities. Leveraging advanced Natural Language Processing (NLP) and voice recognition technologies, the platform offers voice cloning, real-time translation, and multilingual support across Africa.
## Features
- **Voice-to-Text**: Converts Hausa speech into text accurately.
- **Real-Time Translation**: Seamlessly translates between Hausa and other African languages.
- **Voice Cloning**: Custom voice generation for businesses like TV, radio, and online platforms.
- **Cultural Connection**: Strengthens ties by preserving and promoting the Hausa language.
## Project Structure
```plaintext
AfricaVoiceAI/
datasets/ # Contains data for AI training (e.g., Hausa speech and text data)
models/ # Pre-trained and fine-tuned AI models
backend/ # Backend API built using Python (Flask/FastAPI)
frontend/ # User interface built with React.js
scripts/ # Utility scripts for processing data and managing models
docs/ # Documentation and guides for the project
tests/ # Unit and integration tests for ensuring quality
```
## Getting Started
### Prerequisites
- Python 3.8+
- Node.js 14+
- PostgreSQL or MongoDB
### Installation
1. Clone the repository:
```bash
git clone AfricaVoiceAI
```
2. Navigate to the project directory:
```bash
cd AfricaVoiceAI
```
3. Install backend dependencies:
```bash
cd backend
pip install -r requirements.txt
```
4. Install frontend dependencies:
```bash
cd ../frontend
npm install
```
### Running the Project
1. Start the backend server:
```bash
python app.py
```
2. Start the frontend server:
```bash
npm start
```
## Contributing
We welcome contributions to AfricaVoiceAI! Please follow the guidelines in `CONTRIBUTING.md` to get started.
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.
## Contact
For questions or feedback, please …