AI with Hardware
Artificial Intelligence Learning Kit: Hands-on Guide to Fine-Tuning Neural Network Models in Computer Vision
AI is rapidly becoming an integral part of our lives, from tools like ChatGPT to autonomous vehicles. Yet, for many, it remains an abstract concept. This learning kit bridges that gap by offering hands-on projects that connect AI with hardware, making AI accessible to learners of all levels.
Projects in this Kit
Housing Price Prediction
Introduces linear regression, one of machine learning's most fundamental yet powerful algorithms, through the project of housing market prediction.
Cats & Dog Recognition
Transit from traditional machine learning to the powerful domain of deep learning, with a specific focus on Convolutional Neural Networks (CNNs).
Finger Detection
Advance by developing a real-time application using a pre-trained CNN recognition model and how can they work with microcontrollers.
LCD Screen
Enables the system to interface with external devices through serial communication, making it suitable for screen control applications.
Robotic Hand
Further adjust serial communication to enable it to transmit more data in addition to character and binary representation, along with servo motors to control a robotic hand
Facial Recognition
Call upon a facial recognition model to capture and store the characteristics of a specific person, and design a control system that allows the hardware to respond appropriately under different conditions.
Team Members
Timeline
Gallery
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