Page 666 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

(continued)

Category Education
Model training Several types of AI models will be implemented depending on the data
and fine-tuning domain:
A) Education (Adaptive Learning)
• Model Type: Personalized learning recommendation engines using rein-
forcement learning, collaborative filtering, and Bayesian knowledge tracing.
• Goal: Recommend lessons, modules, or learning paths tailored to each
learner’s pace, needs, and performance.
B) Health & Nutrition
• Model Type: Time-series models, classification models, and decision trees
(e.g., Random Forests, LSTM networks for temporal health patterns).
• Goal: Alert users/institutions on nutrition risks or recommend dietary
changes.
C) Agriculture Optimization
• Model Type: Predictive models (e.g., regression, CNNs for image-based
plant disease detection), and prescriptive analytics for input usage.
• Goal: Optimize planting schedules, resource use, and harvest predictions.
All models will be fine-tuned using localized datasets and will leverage
cloud-based platforms for scalability.

2 Use Case Description

2�1 Description

The initiative addresses the challenges of food security, learner health, and personalized
learning within higher educational institutions (HEIs) ecosystems. The primary objective is to
integrate artificial intelligence into HEI ecosystems to improve food security, learner health, and
personalized learning. The system combines real-time data collection (using IoT devices and
wearables), AI-powered analytics, and adaptive learning platforms. This combination is used
to optimize agricultural practices, improve nutrition, and deliver tailored educational content.
The expected benefits include supporting the United Nations Sustainable Development Goals
and promoting holistic learner development, mainly targeting HEIs in resource-constrained
environments.

Partners

• The Uganda National ICT Innovation Hub: Provision of workspace and internet
connectivity, among others.
• The Uganda National Information Technology Authority (NITA), specifically the Personal
Data Protection Office: Data collection and Data control approval.

2�2 Benefits of use case
• AI-driven financial inclusion strategies empower communities economically
• Smart agriculture and AI-driven nutritional insights enhance food security
• AI-powered diagnostics and personalized healthcare improve health outcomes
• Adaptive learning models provide customized educational experiences

630