Screen free educational gaming platform powered by machine learning- QC-393

Desired discipline(s): Engineering - computer / electrical, Engineering, Engineering - other, Computer science, Mathematical Sciences, Mathematics, Business, Social Sciences & Humanities, Design, Education, Interactive arts and technology, Music
Company: Toot
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: Flexible
Location(s): Montreal, QC, Canada; Canada
No. of positions: 2
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About the company: 

Toot is an educational, gaming platform for children ages 3 to 7. It is screen-free, audio based and helps children develop their cognitive skills such as language, music and logic/problem solving. It is composed of 4 speaker cubes and one main cube in which you insert a game card to start a new game. The platform can host thousands of games in many different categories and interests.
A few examples of games are: Sounds matching, language learning, instrument learning, music, interactive storytelling and logic puzzles.

Please describe the project.: 

Toot is an educational, gaming platform for children ages 3 to 7. It is screen-free, audio based and helps children develop their cognitive skills such as language, music and logic/problem solving. It is composed of 4 speaker cubes and one main cube in which you insert a game card to start a new game. The platform can host thousands of games in many different categories and interests.
A few examples of games are: Sounds matching, language learning, instrument learning, music, interactive storytelling and logic puzzles.

The main function that parents and educators were most excited about was the possibility of the system to learn the weaknesses and strengths of their children.
Through these learnings, the system can develop a growth plan based on the data collected from each child while playing.
This, in turn, will create large value to monthly subscribers that receive games on a regular basis, since the games will be tailored to the interest, growth and aptitudes of their children.

The majority of the value that will be created for children will be based on a well designed machine-learning/AI system.
The researcher will be working with data extracted from the system: Child age, gender, location, language, games played, duration of play, recurrence of play by game, time required to solve a game and much more...
The cubes also contain microphones, for creative types of game play. The input can also be leveraged to offer added value to the customers.
The data will be used to help in child development but also offer a healthy overview for parents on the development of their children, their strengths and areas for improvement.
There is also a much more critical value proposition that AI can have a significant impact on. And that is through the detection of early signs of learning difficulties such as dyslexia and dyscalculia.
 

Required expertise/skills: 

Machine learning in general: supervised, unsupervised and reinforcement learning.
The experts in AI will help us understand what kind of machine learning model we should build, as well as the data that will be required for the highest impact possible.