Virtual simulated platform for automated coaching-testing

Project facts

Project promoter:
Meta Education Consultancy(RO)
Project Number:
RO-INNOVATION-0056
Status:
In implementation
Initial project cost:
€155,120
Other Project Partners
niversity of Bucharest Human Language Technologies Research Center(RO)

More information

Description

The main objective of the project is to develop an adaptive gamified coach paired with coaching content that will aim to closing the gap between planning an action and implementing it before it becomes a procrastination cost for the company.

The main result will be to promote value creation in the Romanian business sector by offering an innovative solution to the information and technology sectors as well as the financial sectors, not only in Romania, but also internationally. The implementation of the project will increase the company’s capacity to implement advanced artificial intelligence algorithms, allowing the establishment of a R&D department focused on the development of artificial intelligence (AI) and machine learning (ML) technologies. 

The AI will adapt to the existing coaching content of each client and will initially make coaching suggestions based on the available content. The coaching content will also auto-generate personalized coaching question and insights, adding a deeper layer of motivation for employees. Key activities include:

A second project was financed to enhance the outputs of the previously funded project. The activities are specifically designed to communicate the tangible outcomes and impact of the project funded by the programme. 

Expected outcomes of the project include an increase in turnover and net operational profit. The implementation will contribute to the company''s efficiency as well.

The project will be implemented in partnership with University of Bucharest, which is a leading university in Romania and among the top research institutes on NLP and AI. Their main tasks will be to develop a detection algorithm, develop the algorithm, implement it and finally test and validate the algorithm.

Information on the projects funded by the EEA and Norway Grants is provided by the Programme and Fund Operators in the Beneficiary States, who are responsible for the completeness and accuracy of this information.