WORKSHOP
Inspark Tech Forum: Workshop on Embedded IoT and Prompt Engineering
Event Details
| Field | Details |
|---|---|
| Event Name | Inspark Tech Forum: Workshop on Embedded IoT and Prompt Engineering |
| Date | 27 November 2025 |
| Time | 9:30 AM to 12:30 PM and 1:30 PM to 4:30 PM |
| Venue | AI LAB, Anna Block, Dr. M.G.R. Educational and Research Institute, Tamilnadu |
| Organized By | Department of Data Science, Faculty of Engineering & Technology; Association of Universal Data & Intelligence |
| Target Audience | Engineering Students (Data Science and Related Programs) |
| Chief Guest / Resource Person | Mr. Kumaraswamy R, Senior Executive Manager, Pantecheleaming, Chennai |
Event Summary
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
Participants were introduced to the fundamentals of embedded systems and IoT architecture. The session covered how embedded devices act as the backbone of smart environments and automation systems.
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
Internal Hackathon 2K25: Innovation Beyond Limits
Event Details
| Event Name | Internal Hackathon 2K25 |
|---|---|
| Date | 26th November 2025 |
| Venue | CAR Lab, Anna Block |
| Organized By | Department of Data Science, in collaboration with Association of Universal Data & Intelligence (AUDI) |
| Target Audience | Data Science students |
| Resource Person / Chief Guest | Mr. Harishwar J, Alumni CSE-DSAI Batch 2021-2025, AIML Lead, Business Optima |
Event Summary
The Department of Data Science at Dr. M.G.R Educational and Research Institute organized the Internal Hackathon 2K25 in collaboration with AUDI to foster innovation and problem-solving skills among Data Science students. The event focused on real-world challenges in domains such as Healthcare, Edutech, Sustainability, Green Tech, Cybersecurity, and Open Innovation, where participants developed prototypes through hands-on implementation. Key activities included team-based ideation, coding sessions, model development, and project demonstrations, supported by guidance from industry alumni. Students enhanced their technical proficiency in Data Science, AI, and ML applications, while gaining exposure to industry perspectives. Outcomes emphasized improved collaboration, time management, and practical competency, aligning with academic goals for technological innovation and societal impact.
Key Highlights
- Participants addressed real-time problems across Healthcare, Edutech, Sustainability, Green Tech, Cybersecurity, and Open Innovation tracks.
- Hands-on activities involved rapid prototyping, coding, AI/ML model development, and live demonstrations.
- Guidance from Mr. Harishwar J provided industry insights and project evaluation support.
- Emphasis on teamwork, analytical thinking, and technical proficiency in Data Science tools.
- Outcomes included enhanced practical skills, collaboration, and identification of emerging talent.
- Collaboration with AUDI strengthened research and innovation exposure for students.
Workshop on "Sky–High Data: How Drones Power Modern Analytics"
Event Details
| Event Name | Sky–High Data: How Drones Power Modern Analytics – Hands-on Workshop |
|---|---|
| Date | 20 November 2025, 11.15 a.m. – 1.00 p.m. |
| Venue | RA Auditorium, Main Campus, Dr. M.G.R. Educational and Research Institute, Maduravoyal, Chennai |
| Organized By | Data Science Department, Faculty of Engineering and Technology |
| Target Audience | III year B.Tech Data Science and allied programme students |
| Resource Person / Chief Guest | Dr. M. Kamalahasan, CEO, Dr. MGR ARI Naval & Aerospace Innovation LLP, and team |
Event Summary
The Data Science Department organized a workshop titled “Sky–High Data: How Drones Power Modern Analytics” to introduce students to the role of unmanned aerial vehicles in data-driven applications. The resource team explained how onboard sensors, GPS modules and high‑resolution cameras enable drones to capture large volumes of geospatial and visual data suitable for integration with AI and machine learning models. Use cases spanning precision agriculture, smart city planning, disaster response and environmental monitoring were discussed to illustrate how aerial data supports evidence-based decision-making in modern industries. Students were oriented to safety practices, legal regulations and responsible usage of drone technology. A structured hands-on piloting session enabled participants to operate drones under expert supervision and observe real-time data acquisition. The workshop strengthened students’ conceptual understanding of drone-based data pipelines and enhanced their confidence to pursue projects, internships and research in drone analytics and related domains of data science.
Key Highlights
- Introduction to drone components, payloads, sensors, GPS and high-resolution imaging for data acquisition.
- Discussion on drone-enabled applications in agriculture, smart cities, disaster management and environmental monitoring.
- Explanation of workflows for integrating aerial data with AI/ML models for analytics and decision support.
- Briefing on aviation regulations, no-fly zones, pre- and post-flight safety checks and ethical guidelines.
- Live technical demonstrations and supervised hands-on piloting sessions using training drones and controllers.
- Active participation of Data Science students, fostering interest in careers and research opportunities in drone analytics and aerospace data applications.
