Page 667 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

• AI-driven job-matching

2�3 Future Work

The insights generated from data analysis lead to real-time and planned interventions in the 4.7: Education
following domains:

A) In Education:

• Personalized learning paths are recommended to learners based on knowledge gaps.
• Alerts educators when learners are disengaged or falling behind.
• Automated feedback and progress dashboards for learners and institutions.

B) In Health & Nutrition:

• Diet recommendations based on nutrient deficiencies detected.
• Health alerts to school/institutional medical staff if risk thresholds are detected.
• Meal program adjustments based on aggregated learner nutrition data.
C) In Agriculture:

• Automated irrigation or planting schedules based on weather and soil analytics.
• Advisories on pest control or fertilizer use.
• Reports to meal program managers linking crop readiness with school nutrition planning.

AI-driven personalization presents a powerful tool for advancing sustainable development
across education, wealth, nutrition, and health sectors. The proposed framework enhances
human well-being by integrating machine learning, IoT, and blockchain while ensuring
economic and social equity. Future research will focus on real-world deployment, impact
assessments, and scaling strategies for global implementation.

3 Use Case Requirements

REQ-01 - Technical Requirements:
• AI Algorithms: Machine learning models for predictive analytics in agriculture, health
monitoring, and adaptive learning.
• Data Integration: A secure, centralized platform for collecting and analyzing agricultural,
nutritional, and educational data.
• Connectivity: Reliable internet access or offline-capable solutions for rural or underserved
HEIs.
• Cloud Infrastructure: Scalable storage and computing power for real-time data processing.

REQ-02 - Functional Requirements:

Wearables and Sensors Overview:

We are adopting commercially available and locally adaptable smart wearables and
environmental sensors with the following capabilities:

A) Health & Nutrition Wearables (Student-focused):

• Capabilities: Heart rate monitoring, temperature, sleep patterns, hydration level
estimations, step count, and real-time physical activity tracking.

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