Smart Mobility and Delivery Solution is an innovative platform addressing transportation and logistics challenges in Nigerian cities. By leveraging AI and Operations Research, we enable auto-rickshaw (keke napep) and motorcycle (okada) operators to optimize their operations while providing dual-purpose services - passenger transport and delivery.
Our solution bridges the gap between traditional transportation services and modern logistics demands, helping operators maximize their earning potential while providing reliable services to customers.
- 🤖 AI-powered expense tracking and optimization
- 📊 Real-time earnings analytics and suggestions
- 🗺️ Intelligent route optimization
- 📱 Dual-service mode switching (transport/delivery)
- ⭐ Performance and rating management
- 📍 Real-time service tracking
- 🔄 Flexible booking (transport or delivery)
- ⭐ Service rating system
- 💰 Transparent pricing
- 📱 Mobile-first user interface
- React.js 18.x
- Redux for state management
- Material-UI components
- Progressive Web App (PWA) capabilities
- Node.js with Express
- MongoDB for database
- JWT authentication
- WebSocket for real-time updates
- TensorFlow for predictive modeling
- Python for data processing
- OpenAI GPT for natural language processing
- Scikit-learn for statistical analysis
- Docker containerization
- AWS deployment
- EC2 for hosting
- S3 for storage
- CloudFront for content delivery
- CI/CD with GitHub Actions
- Node.js (v18.x or higher)
- MongoDB (v6.x or higher)
- Python (v3.9 or higher)
- Docker (optional)
- Clone the repository:
git clone https://github.com/your-username/smart-mobility-solution.git
cd smart-mobility-solution- Install dependencies:
# Install frontend dependencies
cd frontend
npm install
# Install backend dependencies
cd ../backend
npm install
# Install Python dependencies
cd ../ml-service
pip install -r requirements.txt- Configure environment variables:
# Backend .env configuration
cp .env.example .env
# Required environment variables
NODE_ENV=development
PORT=3000
MONGODB_URI=mongodb://localhost:27017/smart-mobility
JWT_SECRET=your_jwt_secret
GOOGLE_MAPS_API_KEY=your_api_key
OPENAI_API_KEY=your_openai_key- Start the development servers:
# Start backend server
cd backend
npm run dev
# Start frontend development server
cd frontend
npm start
# Start ML service
cd ml-service
python app.pyThe system employs advanced algorithms for optimal route planning:
- Mixed Integer Linear Programming (MILP) for multi-stop route optimization
- Dynamic programming for real-time route adjustments
- Constraint satisfaction for balancing multiple service requests
Implements sophisticated models for:
- Fuel consumption optimization
- Maintenance schedule optimization
- Dynamic pricing based on demand and distance
- Pattern recognition in spending habits
- Anomaly detection for unusual expenses
- Predictive maintenance alerts
- Fuel efficiency recommendations
- Customer request processing
- Automated response generation
- Sentiment analysis for reviews
- Multi-language support
We welcome contributions! Please follow these steps:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE.md file for details.
- Google Maps Platform for geolocation services
- OpenAI for natural language processing capabilities
- TensorFlow team for machine learning tools
- MongoDB team for database solutions
- The open-source community for various tools and libraries
- 📧 Email: [email protected]
- 💬 Twitter: @yusuufmm
- 👥 LinkedIn: Yusuf Muhammad Musa
Note: This project is under active development. For the latest updates and documentation, please check our official documentation.