Drone Programming and Flight Challenge

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 dive into AI and Natural Language Processing (NLP) to build their very own chatbot! Using tools like Dialogflow, TensorFlow, or Python, students will create a chatbot capable of understanding and responding to user input. They will learn about machine learning algorithms and NLP concepts to enable the chatbot to handle various topics, answer questions, and even engage in conversations.

After coding the chatbot, students will put it to the test, interacting with their bots and making improvements to ensure better responses and more realistic conversations. The workshop concludes with a chatbot showdown, where each bot is tested for creativity, functionality, and user engagement.

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.