VOX: YOUR VOICE. YOUR DATA. YOUR WAY.
VOX is an intelligent voice-activated SQL assistant that allows users to interact with databases using natural language. It combines speech recognition, natural language processing, and database management to provide a seamless voice-controlled database exploration experience.
- Voice-to-Text Conversion: High-accuracy speech recognition using Deepgram
- Natural Language Processing: Intelligent query understanding and context management
- Multi-Database Support: Seamlessly switch between different databases
- Interactive Voice Responses: Natural text-to-speech responses using Deepgram's voice synthesis
- Real-time Visual Feedback: Audio visualization and status indicators
- Context-Aware Conversations: Maintains conversation history and entity memory
- Mode-Based Processing: Intelligent handling of different conversation modes (Database, Creative, Explanation)
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Backend:
- Python with FastAPI for the server
- SQLAlchemy for database management
- Langchain for LLM integration
- Deepgram for speech recognition and synthesis
- OpenAI GPT for natural language processing
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Frontend:
- Pure JavaScript for client-side logic
- WebSocket for real-time communication
- HTML5 Audio API for voice processing
- CSS3 for modern, responsive design
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Environment Setup:
# Clone the repository git clone [repository-url] cd vox-assistant # Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt
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Environment Variables: Create a
.env
file with:DEEPGRAM_API_KEY=your_deepgram_key OPENAI_API_KEY=your_openai_key DB_USER=your_db_user DB_PASSWORD=your_db_password DB_HOST=your_db_host
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Database Configuration:
- Ensure MySQL is installed and running
- Create necessary databases
- Grant appropriate permissions to the DB user
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Running the Application:
# Start the server python server.py # Open index.html in a modern web browser
- Click the microphone button to start voice input
- Speak your database query naturally
- VOX will process your request and respond both visually and aurally
- Use commands like "switch to [database]" to change databases
- Ask questions about data, request explanations, or engage in general conversation
The system follows a modular architecture:
assistant.py
: Core voice assistant logicserver.py
: FastAPI server implementationmode_tracker.py
: Conversation mode management- Frontend files (
index.html
,script.js
,style.css
): User interface
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Predictive Analytics Integration:
- Time series forecasting for trend analysis
- Anomaly detection in data patterns
- Predictive modeling for business metrics
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Advanced Visualization:
- Interactive dashboards with D3.js
- Real-time data visualization
- Custom chart types for specific data analysis
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ETL Pipeline Integration:
- Automated data cleaning and transformation
- Real-time data processing
- Data quality monitoring
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Big Data Support:
- Integration with big data platforms (Hadoop, Spark)
- Distributed query processing
- Handling of unstructured data
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Advanced NLP Features:
- Sentiment analysis of text data
- Entity relationship extraction
- Topic modeling for text analytics
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Machine Learning Integration:
- Automated feature selection
- Model training and deployment
- A/B testing framework
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Advanced Reporting:
- Automated report generation
- Custom report templates
- Scheduled analytics jobs
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Business Intelligence:
- KPI tracking and monitoring
- Industry benchmark comparisons
- ROI analysis tools
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Enhanced Security:
- Row-level security
- Column-level encryption
- Audit logging for compliance
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Data Governance:
- Data lineage tracking
- Metadata management
- Compliance reporting
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Query Optimization:
- Query performance analysis
- Automated index management
- Cache optimization
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Scalability:
- Horizontal scaling support
- Load balancing
- Connection pooling
We welcome contributions! Please see our contributing guidelines for more details.
This project is licensed under the MIT License - see the LICENSE file for details.