Vehicle Tracking & Planning System
A complete vehicle tracking and planning system built with Django REST Framework + React + WebSocket — featuring real-time GPS tracking, route planning with conflict detection, and a modern Bootstrap 5 UI with Dark/Light mode.
The Problem
Fleet managers and logistics companies need a centralized system to track vehicles in real-time, plan routes efficiently, and manage personnel schedules. Existing solutions are either too expensive, lack real-time capabilities, or have complex interfaces. There was a need for an affordable, real-time, and user-friendly platform that combines live tracking with intelligent planning.
The Solution
A full-stack vehicle tracking and planning platform that combines real-time GPS tracking with intelligent route planning. The system uses Django REST Framework for the backend, React for the frontend, and WebSocket (Django Channels + Redis) for live location updates. Features include role-based access control (Admin/User), vehicle management, personnel management, route planning with conflict detection, and a modern Bootstrap 5 UI with Dark/Light mode support.
Real-Time Vehicle Tracking
Implemented WebSocket-based live tracking using Django Channels and Redis. Vehicles broadcast their GPS coordinates every 1-2 seconds, updating the map in real-time. The system supports both simulated routes (for demo) and real GPS data.
Intelligent Route Planning
Built a planning system with conflict detection — vehicles and personnel cannot be double-booked. Plans can be created, edited, and managed with statuses (PLANNED, ACTIVE, COMPLETED, CANCELED). The system automatically checks for overlapping schedules.
Modern Responsive UI
Designed a modern, responsive interface using Bootstrap 5 with full Dark/Light mode support. Features include interactive Leaflet maps, SVG icons (Font Awesome), toast notifications (react-toastify), and role-based dashboards for Admin and User roles.
Architecture & Features
Monorepo architecture with Django REST Framework backend and React frontend. PostgreSQL for data persistence, Redis for WebSocket layer and caching, deployed on Render + Neon + Vercel.
- Backend: Django 4.2 + Django REST Framework — REST API with JWT authentication
- Real-time: Django Channels 4.0 + Redis — WebSocket for live location streaming
- Database: PostgreSQL 15 (Neon.tech serverless) — models for Users, Vehicles, Plans, Personnel
- Frontend: React 19 + Vite 7 — SPA with Bootstrap 5, Leaflet maps, Dark/Light mode
- UI: Bootstrap 5.3 + Font Awesome — responsive design with SVG icons
- State: React Context API + react-hook-form — auth, theme, and form management
- Notifications: react-toastify — clean toast notifications instead of alert()
- Deployment: Render (backend) + Neon (database) + Vercel (frontend)
Technologies Used
Project Gallery
Future Improvements
- Add AI-based route optimization using machine learning algorithms.
- Integrate with real GPS hardware devices (e.g., GPS trackers, OBD-II).
- Add mobile app (React Native) for drivers to receive real-time route updates.
- Implement predictive maintenance alerts based on vehicle usage patterns.
- Add analytics dashboard with charts for fleet performance metrics.
- Support multiple organizations/tenants for SaaS deployment.