Inspark Tech Forum: Workshop on Embedded IoT and Prompt Engineering
The Department of Data Science organized the Inspark Tech Forum, a one-day workshop on Embedded IoT and Prompt Engineering on November 27, 2025. The event aimed to equip students with practical knowledge in IoT technologies, embedded systems, and AI-driven prompt engineering for automation. Key activities included sessions on basics of embedded systems, IoT architecture, sensor integration, real-time monitoring, microcontroller programming with ESP32/Arduino, communication technologies like Wi-Fi, BLE, and MQTT, and applications in smart homes, industrial automation, healthcare, and intelligent monitoring. Participants gained hands-on experience in how IoT devices collect, transmit, and process data for intelligent decision-making. The workshop enhanced students’ skills in data science applications, bridging theoretical concepts with industry-relevant practices, and fostering innovation in universal data intelligence.
KEY HIGHLIGHTS
- Covered fundamentals of embedded systems and IoT architecture as the backbone for smart environments and automation systems.
- Explored sensor integration, real-time monitoring, and microcontroller programming using ESP32/Arduino platforms.
- Discussed IoT communication protocols including Wi-Fi, BLE (Bluetooth Low Energy), and MQTT (Message Queuing Telemetry Transport).
- Highlighted practical applications in smart homes, industrial automation, healthcare systems, and intelligent monitoring solutions.
- Provided insights into prompt engineering for AI-driven IoT interfaces and automation decision-making.
- Featured industry expert Mr. Kumaraswamy R with active student participation and hands-on learning experiences.
Topics Covered
Embedded Systems and IoT Architecture
Technical Components
- Basics of Embedded Systems
- IoT Architecture and Design Principles
- Sensor Integration and Real-Time Data Monitoring
- Microcontroller Programming (ESP32/Arduino)
- IoT Communication Technologies (Wi-Fi, BLE, MQTT)
Applications and Use Cases
- Smart Homes and Building Automation
- Industrial Automation and Industry 4.0
- Healthcare Systems and Monitoring
- Intelligent Monitoring Solutions
- Data Collection and Processing for Automated Decision-Making
