Zita Gayakpa (Togo)

IMCC Bantu aims to revolutionize the support system for full-time international students by leveraging machine learning techniques to match them with the perfect helper. Zita’s innovation addresses the critical need for personalized assistance during the challenging transition to a new educational environment.
Machine learning algorithms analyze various parameters, including cultural background, language proficiency, to identify the most suitable mentors or guides for incoming international students. This tailored matching process ensures that newcomers receive guidance and support from someone who understands their unique circumstances and can provide relevant assistance.
This initiative is crucial as it fosters a smoother integration process, easing the students’ adaptation to a new country. By utilizing machine learning, the IMCC Bantu project facilitates connections based on shared backgrounds that will help reducing the stress often associated with studying abroad. Ultimately, this personalized assistance contributes to their overall well-being and successful integration into their new academic community.