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AI for Good Innovate for Impact
Use Case 10: AI-Driven Personalization for Sustainable
Development: Transforming Education, Wealth, Nutrition, and
Health 4.7: Education
Country: Uganda
Organization: Rein4ce Learning (U) Ltd.
Contact Person(s):
Primary contact: James Boogere (jboogere@ gmail .com)
Secondary contact: Kassim Wasswa (wasswakasim.wk@ gmail .com)
1 Use Case Summary Table
Category Education
The problem to be To integrate AI into personalised, sustainable development
addressed
Key aspects of the Life-long Learning
solution I. Optimize agricultural practice for institutional meal programs through
AI-based climate analytics and resource management.
II. Monitor and manage learners' nutritional needs via smart wearables and
AI-driven dietary analysis.
III. Provide personalized education through adaptive learning platforms,
integrating health longevity training and nutrition data.
Technology AI (machine learning, Natural Language Processing (NLP), Internet of Things
keywords (IoT), cloud computing), data integration, wearable devices, and adaptive
learning platforms
Data availability Private
Metadata (type of The metadata will vary based on the data type—educational progress, health
data) indicators, nutrition data, and agricultural inputs. It includes:
• Timestamps (e.g. time of activity or data collection)
• Device IDs (e.g. unique identifiers for wearables/sensors), of Data)
• User demographics (e.g. age group, institution, region)
• Contextual information (e.g. environmental readings or academic session)
• Data source type (sensor, manual input, app logs, etc.)
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