Compute it

Students will build a simple weather station using Arduino. They will learn to connect sensors like temperature, humidity, and barometric pressure to measure the weather conditions around them. Students will also write code to read data from the sensors and display it on a screen or even upload it to the cloud for remote monitoring.

The activity will help students understand basic electronics, sensor data processing, and how to program an embedded system. At the end of the workshop, students will present their weather stations and discuss how the data can be used to track environmental conditions or predict weather trends.

Students will apply AI principles to program an autonomous robot capable of navigating a dynamic environment. Using camera sensors or LIDAR, they will implement AI algorithms for pathfinding and real-time decision-making. Students will learn how to make their robots respond to obstacles and changing conditions using machine learning techniques.

The session culminates in an exciting challenge where robots autonomously navigate through a dynamic course, avoiding obstacles and adapting to new conditions in real-time.

Students will learn to program and control drones autonomously. Using sensors like altitude and obstacle detection, they will code flight paths to navigate a set course. Through hands-on experience, students will practice programming drones to take off, fly, and land without human intervention.

The session includes a fun competition where students race their drones through a timed obstacle course, applying their coding skills to ensure smooth and precise flights.