August 6 | Demo Day | AI Innovation
Overcoming Data Challenges & Building Real-World Solutions
The case studies
Topic 1: Finding the safest path in the aftermath of an earthquake
In collaboration with Istanbul’s Impact Hub innovation center, Omdena data scientists identified the problem – emergency response in an earthquake prone region – and then the solution. The data scientists combined satellite imagery of Istanbul with street map data in order to build a tool which facilitates family reunification by indicating the shortest and safest route between two points after an earthquake.
“Omdena´s approach to AI development is by far the best that I have seen in 2019” – Semih Boyaci, Co-Founder Impact Hub Istanbul
Topic 2: Building a chatbot for Post-traumatic-stress-disorder (PTSD) assessment
32 Omdena collaborators developed a machine learning driven chatbot for PTSD assessment in war and refugee zones.
The unique aspect of the project was that we did not start with at data set.
Only through the collaborative efforts of the project community, we could identify and annotate suitable patient data. The teams applied linear classifiers for Natural Language Processing (NLP) for PTSD risk assessment and transfer learning for data augmentation.
Topic 3: Analyzing Domestic Violence through Natural Language Processing
The following work is part of a project with the award-winning Red Dot Foundation and Omdena’s collaborative platform to build solutions to better understand domestic violence and online harassment patterns during COVID-19. The team scrapped data from news articles as well as social media to apply various NLP techniques like topic modeling, document annotations, and stacking machine learning models.