The online platform BugBit was designed based on the integration of advanced remote sensing technologies, artificial intelligence, and machine learning. It enables users to monitor forest health in real-time, detect early signs of diseases and pests, and take preventive measures to manage them.

The issue of early detection of pests and diseases in forests, which is crucial for preventing extensive damage and preserving forest ecosystems, is effectively addressed by the BugBit platform. The target audience, including foresters, forest owners, and environmental organizations, is equipped with reliable tools for monitoring forest health.

The platform distinguishes itself from competitors by utilizing the latest satellite data and artificial intelligence for risk analysis and prediction, enabling faster and more accurate responses compared to traditional methods. Additionally, data from various sources is integrated into a user-friendly experience, making information more accessible and easier to use.

BugBit was awarded first place in the European CASSINI competition, receiving a prize of 100 hours of expert mentoring. An investment of 10,000 EUR was also secured at the myEUSpace competition, supporting further development and expansion of the platform.