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Course Details
Ai-Infused Embedded Real-Time Control System With Prediction Model
A 4-day foundation program introducing participants to AI and Machine Learning integration within embedded systems. Learners gain practical experience in developing AI prediction models using Python libraries (NumPy, Pandas, Scikit-learn) and applying them in C/C++-based microcontrollers for real-time control. Using FlowLogic 6 and IoT platforms, participants collect and analyze sensor data, then build AI-infused controllers capable of making real-time decisions based on predicted outcomes. The capstone project involves developing an AI-driven rainfall prediction and automation system with temperature, humidity, and light sensors — offering hands-on experience in the fusion of AI, data analytics, and embedded control engineering.
Open to students, educators, engineers, and professionals with basic computer skills and interest in AI.
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