Autonomous Robot Navigation with AI

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.

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.