In activity A3.1, artificial intelligence-based mentoring algorithms will be developed by taking into account the challengesand needs of young women in business life. For example, a code infrastructure will be written to provide instant consultancyon basic topics such as market-data analysis, business plan creation and cost optimization.
The focus of activity A3.2 is to design a clear and interactive mobile interface that young women with different digital skilllevels can easily use. The application menus, color palette, user flow and icon set will be created in accordance with thedaily life experiences of young women. In addition, the application will include “step-by-step guide” (walkthrough) features and instant notifications.
In activity A3.3, the beta version of the application created will be tested in a closed test group and user experience andtechnical performance will be measured. Data will be collected in areas such as the accuracy of artificial intelligencesuggestions, the understandability of green entrepreneurship modules and the intuitiveness of the user interface.
In activity A3.4, technical and design improvements will be made to the application in light of the findings from the pilot tests.The success rate of artificial intelligence algorithms will be increased, difficulties in the user interface will be resolved, andthe effectiveness of the application will be increased.