AI Lite Kit

AI Lite Kit  Grades: 6 to 10 Number of Students: 1–2 students per kit Number of Lessons: 40+ Lesson Plans Hours of Content: 48 contact hours  Additional Resources: AI Lite MIT App Inventory Sample Lesson, AI Lite Python Sample Lesson Highlights: Entry-level AI robotics platform with AI camera, touch/ultrasonic/infrared/ color sensors, and MIT App Inventor / Python / OpenCV / ML programming. Works with Gen AI.  AI Lite is an AI-enabled robotics kit that builds students' AI literacy through progressive, hands-on coding. Learners can begin creating their AI programs using either a block-based programming environment or Python programming with AI libraries such as OpenCV and Machine Learning — giving them real, practical exposure to computer vision and pattern recognition rather than just robotics mechanics. No complex assembly required; students can build an AI robotics model in minutes. The robotics kit itself is equipped with AI Camera Sensor and supporting sensors (ultrasonic, infrared, color) that enable real AI-driven capabilities like face recognition, object recognition, gesture recognition, and color recognition. As an entry-level AI Literacy plus Robotics platform, it introduces students to applied AI concepts using accessible tools and libraries, laying the foundation for more advanced AI development later. Curriculum or Lesson Topics: Perception & Sensing: Using the AI camera to capture and interpret image data; using ultrasonic and infrared sensors to detect objects and distance Data Representation & Reasoning: Encoding information into a form the robot can process; using that data to draw conclusions and make decisions Machine Learning Fundamentals: Training the robot to recognize patterns (e.g., hand gestures) and improve its accuracy at a task over time Human-Robot Interaction: Programming the robot to respond to natural inputs — hand gestures via camera, face recognition, and voice/speech commands AI Ethics & Real-World Applications: Exploring the societal impact of AI, including transparency, explainability, and alignment with human values, through real-world project scenarios (Space Exploration, Agriculture, Smart Homes) Standard Alignments: AI4K12 “5 Big Ideas of AI”, ISTE, CSTA, NGSS, Common Core What’s Included: Versatile multi-function controller (Brain Block) Sensors: AI Camera, Ultrasonic + Infrared Hub, Color Sensor Actuators: 2-Motor or 4-Motor configuration options 40+ Lesson Plans & Facilitator Reference Guide    Technology Requirements/Specifications: Computer: Laptop or desktop (Windows, macOS, or Linux) capable of running Python 3.x — Software Environments: MIT App Inventor (Browser-based) and Python Tablet: Android tablet with MIT App Inventor Companion App AI Libraries: OpenCV (for computer vision tasks — face/object/color recognition) and a Machine Learning library Connectivity: WiFi connection between the laptop/desktop and AI Lites Brain Block, to upload/transmit programs to the robot Camera Access: Since perception tasks rely on the AI Camera Sensor, the programming environment needs proper driver/permission support to read camera input Minimum System Computer Tech Specs: A reasonably current machine with at least 4GB RAM Internet Access: Recommended for initial library installation (pip installs) and any cloud-based ML model training/reference, though not necessarily required for every lesson once set up   Special Notes and Considerations: Due to production time, this item typically ships 3-4 weeks after receipt of the order.