Building an AI-based Personalized Language Learning Model For Bilingual Children, Including Immigrants and Refugees
50 AI engineers collaborate to analyze children’s learning applications’ data, and build a recommendation system that adapts to the level of the children as they progress in the app.
This high-impact project requires experience in Data Analysis, Machine Learning, and/or Recommendation System.
With a personalized study plan, Poikilingo works on developing language skills and cultural awareness for bilingual children, including immigrant and refugee children, who need to learn the language of the host country as fast as possible to be able to start in the school system.
In this challenge the goal will be to building a machine learning model that adapts to that data and the children’s progress in the applications, ensuring a personalized learning experience for each individual child.
The Project Goals
Build a personalized Recommendation system where the child’s study plan adapts to the level of the child as she progresses in the plan by collecting, analyzing, and inspecting the data.
The model synchronizes with the child’s progress within a given interval to improve the machine learning model. Training the model to identify the child’s next steps based on the child’s progress in the study plan. A custom dashboard to analyze, collect, inspect, etc., all the data users (inputs), all the machine learning data, and the outputs.
Why join? The uniqueness of Omdena AI Challenges
A collaborative experience you never had in your working life! For the next eight weeks, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join a global and collaborative team of changemakers. Omdena AI Challenges are not a competition or hackathon but a real-world project that will take your experience of what is possible through collaboration to a new level.