A comprehensive Vue.js application that uses AI to track driving habits, monitor road conditions, and provide intelligent alerts to improve driving safety and efficiency.
- Real-time Speed Monitoring: Track current speed vs. historical driving patterns
- AI-Powered Habit Analysis: Learn and analyze your driving behaviors
- Voice-Controlled Reporting: Hands-free hazard and condition reporting
- Road Condition Tracking: Log and remember road conditions for future trips
- Intelligent Alerts: Get notified when exceeding usual speeds or approaching hazards
- Route Memory: Remember road conditions on frequently traveled routes
- Adaptive Speed Alerts: Personalized speed thresholds based on your driving history
- Pattern Recognition: Identify driving habits and provide insights
- Predictive Recommendations: Suggest alternative routes and driving adjustments
- Voice Command Processing: Natural language processing for hands-free interaction
- Contextual Reminders: Location-based alerts about previously reported conditions
- Frontend: Vue 3 with TypeScript
- UI Framework: Vuetify 3 (Material Design)
- Maps: Mapbox GL JS
- State Management: Pinia
- Build Tool: Vite
- Icons: Material Design Icons
-
DrivingDashboard.vue
- Overview of driving statistics
- Recent alerts and notifications
- Quick action buttons
- Driving habits analysis
-
MapView.vue
- Real-time location tracking
- Interactive map with hazard markers
- Speed monitoring and alerts
- Route visualization
-
VoiceRecorder.vue
- Voice command recognition
- Hands-free hazard reporting
- Voice note management
- Multi-language support
-
SpeedMonitor.vue
- Real-time speed tracking
- AI-powered habit analysis
- Speed pattern visualization
- Customizable alert settings
-
RoadConditionTracker.vue
- Road condition reporting
- Historical condition data
- AI recommendations
- Community-driven updates
- Node.js (v20.19.0 or higher)
- npm or yarn package manager
- Clone the repository:
git clone <repository-url>
cd vue-practise- Install dependencies:
npm install-
Set up Mapbox access token:
- Get a free API key from Mapbox
- Replace the placeholder token in
src/components/MapView.vue:
mapboxgl.accessToken = 'your-mapbox-token-here'
-
Start the development server:
npm run dev- Open your browser and navigate to
http://localhost:5173
npm run build- Adaptive Learning: The app learns your typical speeds on different routes
- Contextual Alerts: Alerts are triggered only when significantly exceeding your usual patterns
- Route-Specific Thresholds: Different speed expectations for highways vs. city streets
- Time-Based Adjustments: Considers time of day and traffic conditions
- Wake Word Detection: Say "Hey SmartDrive" to activate voice commands
- Natural Language Processing: Understands various ways to report conditions
- Hands-Free Operation: Perfect for safe reporting while driving
- Multi-Language Support: Works in multiple languages
- Persistent Storage: Remembers conditions you've reported on specific routes
- Community Data: Integrates reports from other users (in full implementation)
- Automatic Reminders: Alerts you about previously reported hazards
- Condition Updates: Track when hazards are fixed or conditions improve
- Driving Pattern Analysis: Identifies your unique driving characteristics
- Safety Scoring: Provides overall safety ratings based on behavior
- Predictive Recommendations: Suggests improvements and alternative routes
- Habit Tracking: Monitors changes in driving behavior over time
- Threshold Adjustment: Customize how much over your usual speed triggers alerts
- Alert Types: Choose between visual, audio, or vibration alerts
- Route-Specific Settings: Different thresholds for different types of roads
- Adaptive Learning: Enable/disable automatic threshold adjustments
- Language Selection: Choose from multiple supported languages
- Continuous Listening: Option for always-on voice recognition
- Command Sensitivity: Adjust recognition accuracy vs. responsiveness
- Custom Commands: Add personalized voice shortcuts
- Local Storage: All personal data stored locally on device
- Anonymous Sharing: Option to share road conditions anonymously
- Data Export: Export your driving data for analysis
- Privacy Controls: Granular control over what data is collected
The app provides comprehensive analytics including:
- Speed Patterns: Historical speed data and trends
- Route Analysis: Performance metrics for frequently traveled routes
- Safety Metrics: Tracking of safety improvements over time
- Condition Reports: Statistics on road conditions you've encountered
- Local-First: Personal driving data stays on your device
- Encrypted Storage: Sensitive data is encrypted locally
- Anonymous Reporting: Road conditions can be shared without personal identification
- Opt-In Sharing: All data sharing is explicitly opt-in
- Machine Learning Models: More sophisticated pattern recognition
- Weather Integration: Factor weather conditions into recommendations
- Traffic Data: Real-time traffic integration for better routing
- Social Features: Connect with other drivers for community insights
- Fleet Management: Features for commercial vehicle management
- Insurance Integration: Potential integration with insurance providers
- Offline Functionality: Work without internet connection
- Background Processing: Continue tracking when app is minimized
- Advanced Analytics: More detailed driving behavior analysis
- API Integration: Connect with external traffic and weather services
This is a demonstration project showcasing AI-powered GIS applications. For production use, consider:
- Implementing proper backend infrastructure
- Adding user authentication and data synchronization
- Integrating with real traffic and weather APIs
- Implementing proper data privacy compliance
- Adding comprehensive testing suite
This project is for demonstration purposes. Please ensure compliance with local regulations regarding driver monitoring and data collection when implementing similar features.
For questions about implementation or features, please refer to the component documentation within the source code. Each component includes detailed comments explaining the AI algorithms and data processing logic.
Note: This application demonstrates the potential of AI-powered driving assistance. For production deployment, ensure compliance with local privacy laws and driving regulations.