We try to build an intelligent fleet management system that leverages AI to provide intelligent vehicle tracking, maintenance scheduling, and fleet optimisation.

• Members: Kosi and Alex
• Event: Entrepreneur First Fall Hack
• Talent Investor: Amy Brese
• Date: December 7th-8th 2024
• View Presentation

• Real-time Fleet Dashboard: Monitor your entire fleet at a glance
• Vehicle Management: Comprehensive vehicle tracking and information
• Interactive Map: Live location tracking with route visualization
• AI-Powered Insights: Intelligent fleet analysis using Gemma-2b
• Maintenance Tracking: Automated maintenance scheduling
• Dark Mode Support: Enhanced UI experience
• Responsive Design: Optimized for all devices

eye-fleet/
├── frontend/          # Next.js frontend application
│   ├── src/          # Source code
│   │   ├── app/      # Next.js pages and components
│   │   ├── styles/   # Global styles and themes
│   │   └── lib/      # Utility functions and helpers
│   └── package.json  # Frontend dependencies
├── backend/          # Django backend services
   └── eyefleet/
     ├── manage.py
     ├── api/      # REST API endpoints 
        └── eyefleet/ # Core settings

# Navigate to backend directory
cd backend/eyefleet

# Install dependencies
pip3 install django djangorestframework django-cors-headers

# Apply database migrations
python3 manage.py makemigrations
python3 manage.py migrate

# Start Django server
python3 manage.py runserver

Backend API will be available at http://localhost:8000/docs/

# Navigate to frontend directory
cd eye-fleet

# Install dependencies
npm install

# Start development server
npm run dev

Frontend will be available at http://localhost:3000

This project is licensed under the MIT License - see the LICENSE file for details.

• Entrepreneur First for hosting the Fall Hack
• Amy Brese for support!