Noory: Making Reading More Fun
Noory is a digital library and book recommendation app that uses the power of machine learning and data science to suggest personalized reading recommendations for children.
Since it recommends exciting and engaging books, audiobooks, and podcasts in the Arabic language based on personal interests, it's one of the most important mobile apps for parents of school-aged children.
Challenge
In this day and age, digitized books are more engaging for kids than normal books. But finding the right book to keep kids entertained is hard.
Noory needed the ability to analyze thousands of data points and deliver personalized recommendations quickly. But the AI models required didn't exist yet.
So Noory began looking for an app development team that had extensive experience designing, building, and training machine learning models.
Solution
Using technologies like BigQuery, Tensorflow, Python ML, and Apache Beam, Blink22 AI engineers and app developers designed, built, and integrated a customized book recommender system.
The system analyzes numerous inputs and factors from terabytes of unstructured data in seconds to generate intelligent recommendations for several age ranges and life stages.
Outcome
This digital library and book recommendation app is more than just education or entertainment for children; it makes reading more fun.
Parents and children can use Noory to find the perfect book based on the child's interests, age range, and learning style.
