01 March, 2025

Objective of the Session:

The objective of this expert lecture was to introduce undergraduate students to the exciting intersection of artificial intelligence (AI) and microcontrollers, a rapidly emerging field known as TinyML. The session aimed to demonstrate how low-power microcontrollers are now capable of running AI algorithms, enabling smart decision-making at the edge without the need for cloud computing. Mr. Darshan Patel explained the basics of microcontrollers, limitations of traditional embedded systems, and how recent advancements in processors have enabled AI integration. He also discussed practical applications of AI-enabled microcontrollers in smart homes, healthcare devices, industrial automation, and wearable technology. The session covered popular platforms such as ARM Cortex-M series, ESP32, and Google TensorFlow Lite for Microcontrollers.

The lecture encouraged students to explore simple AI models like image recognition and speech detection, which can be implemented on resource-constrained devices, thereby opening doors for innovation in IoT and embedded systems.

Outcome

After attending this lecture, participants:

- Understood the fundamentals of TinyML and AI on microcontrollers.

- Learned about the hardware and software platforms enabling AI in embedded systems.

- Explored real-world applications of AI-powered microcontrollers in daily life and industry.

- Gained awareness of the scope for research and projects in AIoT (Artificial Intelligence of Things).

- Were motivated to design innovative UG-level projects involving microcontrollers and AI.

The session concluded with a Q&A interaction where students discussed topics such as selecting the right microcontroller for AI projects, power efficiency concerns, and industry use cases. Feedback was very positive, with students showing interest in working on AI-based embedded projects for their final year.