We are working on a series of different research projects on AI for GOOD, on which AI for People is open for collaborations, funding and volunteers to make them reach a more mature stage. Help us to make them become a reality!

Addressing Land Degradation with Satellite Data and Artificial Intelligence

We propose a project that uses Sentinel satellites data, from the European Union Copernicus Earth Observation Program, in order to monitor and control the process of land degradation, especially in remote areas. The use of artificial intelligence techniques, alongside image analysis algorithms, can fully automatise the land degradation detection process, making possible the detection of land degradation since the initial and reversible phases. Monitoring the land degradation could be a major step towards a more responsible use of soil and natural resources. Controlling factors such as urbanization and deforestation may help government to enforce the law. The data we use is totally free and it was recently used in similar scenarios, e.g. to monitor the effects of the recent floods in Spain and Iran.

Are you interested? Contact us at research@

AI for Mental Healthcare

Mental illnesses have reached an epidemic level over the last few years, with 1 in 4 people suspected to have a diagnosable mental illness. Mental illnesses are also the biggest contributors to the loss of life satisfaction and subjective well-being, even more so than physical illnesses. The issue is more significant in high-income countries without social welfare, where the costs of treatment marginalize a significant portion of those affected. On the other hand, the issue is also magnified in low and middle-income countries, where a significant percentage (often up to 90 %) of the affected
people do get the necessary help. To overcome this, we propose to set up a platform, which connects interested users with mental health professionals in near real-time. We can try a host of AI and software to scale the project including, but not limited to: use of chatbots or use of smartphone and wearables data to monitor user mental and emotional states, and predict relapses. The project aims to empower people to seek out mental health services at their fingertips. Additionally, the goal is to democratise access to mental healthcare, irrespective of people’s financial standings.

Are you interested? Contact us at research@

Who am I? Developing a new Understanding of your Online Identity

This project aims to develop a better understanding of online identities through multiple approaches: Confrontation, Explanation and Solution. The concrete application aims to provide a web-service that can generate a detailed, yet brief report about the most unique facts retrieved from the internet. This confrontation includes all of the basic information (gender, language, job, location) and more personalized information (friends, shopping preferences, language use). As there are already services in place to provide this information from separate social media sites (Facebook, Twitter etc), the implementation focuses on the connection of this information and on its visualization. Furthermore, the retrieved data should be explained to the user (how did the algorithm find the data) and finally offer ways to hide or delete the data.

Are you interested? Contact us at aiapplications@