On October 12, 2024, the Computer Electronic and Software Society (CESS) hosted an engaging workshop titled TinyML and Smart-IoT, conducted by Ndombasi Diakusala Joao Andre, which took place at the Main Campus and online via Jinniuhu. The workshop aimed to equip students with practical skills in deploying machine learning models on embedded systems using TinyML, bridging the gap between artificial intelligence and the Internet of Things (IoT). The event had significant participation from students in technology-related fields who were eager to gain hands-on experience in this emerging area. The 3-hour session was structured into two main segments, each focusing on crucial aspects of IoT and TinyML.
In the first half of the workshop, students attentively listened as the instructor laid the groundwork for building machine learning models, explaining key theoretical concepts necessary for understanding how TinyML operates in IoT devices. The lecture was designed to help students establish a strong foundation in machine learning, ensuring they were prepared for the practical session that followed.
In the second half of the workshop, students engaged in hands-on coding exercises. Under the guidance of the instructor, they applied their learning to develop and deploy a working machine-learning model on microcontrollers. This practical experience was invaluable in helping students bridge the gap between theory and real-world application as they tested and debugged their models in real-time.
To mark the successful completion of the workshop, participants came together for a group photo. Throughout the workshop, attendees fully engaged in the theoretical and practical sessions, applying the knowledge they gained in real-time. As a token of appreciation for their dedication, all participants who attended the event will receive an activity stamp, acknowledging their active participation in this valuable learning experience.
