The Public Bus Arrival Predictor is an Internet of Things (IoT) project that combines Data export and Geofencing, built with Cloud API. The project follows a clean, modular pipeline where sensor data acquisition, connectivity, and presentation stay separated, making it easy to test, extend, and present. It showcases practical IoT techniques while producing a working, demo-ready system.
Manual monitoring and control for this task is slow, inconvenient, and cannot be done from anywhere. Without an IoT approach built on Geofencing and Cloud API, users cannot connect real-world devices to the internet and manage them efficiently in real time.
This project applies IoT techniques through Data export, orchestrated with Cloud API and Geofencing. The system is designed for connectivity and reliability, with sensing, networking, and clear evaluation. It produces consistent, reusable results and can be adapted to related connected applications with minimal changes.
Cloud API
GPS module
ESP32 / Arduino / Raspberry Pi
MQTT / HTTP
Cloud dashboard
Sensors and actuators
ESP32
Arduino
Modular IoT pipeline around Data export and Geofencing
Configurable sensor and control settings
Real-time data collection and monitoring
Clear alerts, logging, and error handling
Reusable components for related connected systems
Remote access and control
The project is layered: the sensing layer acquires data through Data export; the connectivity layer publishes and processes it with Cloud API and Geofencing; and the output layer monitors and controls via Route logging. Shared connectivity, alerting, and dashboard modules support all layers, keeping the system robust and easy to extend.
Set up the hardware, sensors, and development environment.
Build the sensor data acquisition layer with Data export.
Implement connectivity and processing using Cloud API and Geofencing.
Add the dashboard and control layer via Route logging.
Wire up end-to-end flows and add error handling and retries.
Test with real data, tune settings, and refine the system.
Package the project, document it, and prepare the demo and viva report.
Build production-style IoT applications
Apply GPS integration and Fleet tracking
Connect and control IoT hardware
Publish and consume sensor data
Present and defend a complete IoT project in viva
Add edge analytics for faster decisions
Add more sensors and cloud services
Add mobile app control
Deploy on scalable cloud infrastructure
The Public Bus Arrival Predictor delivers a complete Internet of Things workflow — from sensor data acquisition and connectivity to monitoring and control. It is practical, modern, and easy to explain, making it an excellent final year project that demonstrates in-demand IoT skills.
