Project Title : Real-Time Fleet Tracking System

Objective:

To design and implement an IoT-based system for real-time monitoring and management of vehicle fleets, improving logistics efficiency, safety, and decision-making.

Project Summary:

This project focuses on creating a smart fleet tracking system using Internet of Things (IoT) technology. Each vehicle in the fleet is equipped with a GPS module and a microcontroller (like Arduino or NodeMCU) that communicates data such as location, speed, and engine status to a cloud server via GSM or Wi-Fi. The backend processes and stores this data, which is then displayed on a real-time web or mobile dashboard using maps and analytics.

Key Components:

Hardware: GPS module, GSM/4G module, microcontroller (ESP8266/Arduino), power source

Software: Cloud platform (like Firebase or AWS), Web Dashboard (HTML/CSS/JavaScript), API integration for maps

Protocols: MQTT or HTTP for data communication

Features:

Live location tracking of vehicles on a map

Speed monitoring and alert generation

Route history logs

Geo-fencing (alert if vehicle leaves a predefined area)

Web/mobile interface for fleet managers

Applications:

Logistics and transportation companies

School bus tracking

Delivery services

Emergency vehicle dispatch

Outcome:

The project demonstrates how IoT can optimize fleet management through automation, real-time data access, and improved safety. It’s a scalable solution that prepares students for smart transportation systems and industrial IoT applications.