The challenge involves developing a solution for monitoring the health and activity of bees using IoT and machine learning technologies. The solution should be designed to promote sustainable agriculture by improving the pollination process and ensuring the health of bee populations. 

The challenge will be broken down into various sub-challenges and these can include activities such as: 

developing a network of IoT devices to monitor the activity of bees, such as hive temperature, humidity, and sound levels; developing machine learning algorithms to analyze the data collected from various sources and generate insights into bee behavior and health; developing a dashboard or mobile application that provides beekeepers with real-time insights into hive activity and health, such as the number of bees, the amount of honey produced, and the presence of pests or diseases; developing strategies to improve bee health and promote sustainable agriculture, such as providing information on optimal hive conditions, pollination patterns, and the use of pesticides; developing innovative solutions for protecting bee populations and promoting biodiversity, such as the use of green roofs and urban gardens. 

The challenge will be organized in collaboration with beekeeping organizations, agricultural companies, and environmental organizations to provide participants with access to resources, expertise, and mentorship. 

Learners will develop essential competences to become more confident, convincing, and empathetic communicators able to ask follow-up and probing questions. The challenge provides them with space to simulate various academic and professional situations, such as: interviews, surveys, presentations, pitches. 

Learning Environment – MS Teams and/or Moodle.