4G Smart IoT Gateway Platform with Raspberry Pi Integration | AI Edge Computing for Data Acquisition & Automation | Python & C++ Programming for Remote Monitoring | Open-Source Cloud System for Smart Farms, Robotics, IoT & STEM Education

IoT gateway platform bridges edge devices and cloud intelligence through a 4G network module and Raspberry Pi controller. Designed for AI and IoT education, it teaches students how real-time data flows from sensors to servers for automation and analysis. Integrated 4G LTE communication ensures reliable connectivity in remote areas where Wi-Fi is unavailable.

Python and C++ programming enable learners to collect, filter, and analyze sensor data from temperature, humidity, light, and motion modules. The platform supports MQTT and HTTP protocols, allowing users to design IoT dashboards for cloud visualization. Students build applications such as smart farming monitors, robotic control systems, and AI environmental tracking nodes.

Industrial-grade power management and metal enclosure ensure continuous operation and stability for field deployments. Edge AI processing uses TensorFlow Lite and OpenCV to perform local inference before uploading results to the cloud, reducing bandwidth cost and response time. The open-source architecture encourages experimentation with Linux-based automation scripts and hardware expansions via GPIO and USB.

Learners practice full-cycle STEM engineering: hardware setup, network configuration, data collection, machine learning integration, and cloud deployment. The kit is compatible with Node-RED and Grafana for visual analysis of real-time data streams. It demonstrates how IoT gateways enable smart cities, industrial control, and environmental systems to communicate securely and autonomously.

Open-source documentation and sample projects make this platform ideal for universities, research labs, and automation courses focused on edge computing and cloud integration.