Pratham is an innovative learning organization created to improve the quality of education in India. Established in 1995 to provide education to children in the slums of Mumbai, Pratham has grown in both scope and scale, with programs today reaching children and youth across India.
As one of the largest non-governmental organizations in the country, Pratham focuses on high-quality, low-cost and replicable interventions to address gaps in the education system. Working directly with children and youth as well as through large-scale collaborations with government systems, Pratham programs reach millions of lives every year.

Pratham’s Hybrid Learning program involves getting children in the age group 10-14 in a village to form their own groups of 5-6 each, thus enabling them to co-create a learning space within their community. Students can access digital content through the Pradigi app which is installed on tablets providing them with opportunities and choices to learn on their own. Community-based children’s groups engage in choice-based learning and are guided by the coaches and youth members in the communities. The communities are organized to facilitate and support learning activities and assessments. Pradigi app has content for age groups 3-14 and groups of students can access content based on their interests.
In this competition, you will develop a model to predict what groups use on the app and recommend content based on the groups’ history of usage. You’ll be provided with data with groups’ resource-level usage per session, resource information, and group and student information. A good recommendation system can help these first-generation learners to navigate through learning content in a more structured and effective manner, leading to sustained learning.

Evaluation Metric: The evaluation metric for this competition is Mean Average Precision.

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Recommendation System for PraDigi App

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