![Untitled (1300 x 6000 px) (100 x 250 mm)](https://static.wixstatic.com/media/bd90ed_06539bdbf7e84d04a5ce1cd83d7d53b7~mv2.jpg/v1/fill/w_305,h_1134,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/Untitled%20(1300%20x%206000%20px)%20(100%20x%20250%20mm).jpg)
![Veronika Nemcova.jpg](https://static.wixstatic.com/media/6d4519_606eeee605144c89baeb0bbbece41710~mv2.jpg/v1/crop/x_0,y_504,w_3024,h_3024/fill/w_188,h_188,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/Veronika%20Nemcova.jpg)
VERONIKA NĚMCOVÁ
Develop a spoken language VA for patients recovering from stroke, which will administer questionnaire-based outcome assessments such as the modified Rankin scale (mRS) via a mobile application (Android, iOS) in a conversational interface. Initial version in English, later versions in 2 additional EU languages.
Develop a VA (with speech input, speech and graphical output) for data analysis by different healthcare professional end-users (e.g. nurses, doctors, hospital managers) using data analysis and predictive models from WP5. Initial version in English, later versions in 2 additional EU languages.
Localize the VAs for deployment in 2 or more EU languages (e.g. Spanish, Czech).
Continuously evaluate and upgrade of VA system components (NLU, DM, NLG) until final deployment and evaluation.
![objectives new colour.png](https://static.wixstatic.com/media/bd90ed_8218e3a2a1884f3d92bee2133edfbaf3~mv2.png/v1/crop/x_0,y_7,w_2513,h_2513/fill/w_188,h_188,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/objectives%20new%20colour.png)
![Untitled (1300 x 6000 px) (100 x 250 mm)](https://static.wixstatic.com/media/bd90ed_51214237b87240f8b91233ab2c2f972a~mv2.jpg/v1/fill/w_305,h_1134,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/Untitled%20(1300%20x%206000%20px)%20(100%20x%20250%20mm).jpg)