Joint Analysis of Multimodal data on climate change for the educational purpose
From ISLAB/CAISR
| Title | Joint Analysis of Multimodal data on climate change for the educational purpose |
|---|---|
| Summary | Exploring climate change data using machine learning and deep learning |
| Keywords | Multimodal Data, Climate Change, Machine Learning, Deep Learning |
| TimeFrame | Fall 2023 |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Zeinab Shahbazi, Sławomir Nowaczyk |
| Level | Master |
| Status | Open |
Climate change is real, and it is necessary to educate people about its real danger of it. There is much information available on the internet, but obtaining the most relevant information is still challenging. This project aims to use different information and select the most informative video content. For example, there are many available youtube videos with likes and comments. We want to use such information and find the most informative videos that could be later used for educational purposes to educate people through these compelling videos.
This is in connection with our https://bthechangeproject.eu/ BtheChange project, in collaboration with Cyprus, Greece and France.
