Agentic Educational Content Generation for African Languages on Edge Devices

TL;DR

This paper introduces an autonomous multi-agent framework for generating culturally relevant educational content in African languages on edge devices, demonstrating high performance and quality in resource-constrained environments.

Contribution

It presents a novel decentralized, multi-agent system for adaptive educational content creation tailored to African languages on low-power edge devices.

Findings

Achieved low latency and high throughput on Raspberry Pi 4B and NVIDIA Jetson Nano.

Delivered high-quality multilingual educational content with BLEU score of 0.688.

Supported sustainable and culturally relevant education aligned with UN SDGs.

Abstract

Addressing educational inequity in Sub-Saharan Africa, this research presents an autonomous agent-orchestrated framework for decentralized, culturally adaptive educational content generation on edge devices. The system leverages four specialized agents that work together to generate contextually appropriate educational content. Experimental validation on platforms including Raspberry Pi 4B and NVIDIA Jetson Nano demonstrates significant performance achievements. InkubaLM on Jetson Nano achieved a Time-To-First-Token (TTFT) of 129 ms, an average inter-token latency of 33 ms, and a throughput of 45.2 tokens per second while consuming 8.4 W. On Raspberry Pi 4B, InkubaLM also led with 326 ms TTFT and 15.9 tokens per second at 5.8 W power consumption. The framework consistently delivered high multilingual quality, averaging a BLEU score of 0.688, cultural relevance of 4.4/5, and fluency of 4.2/5 across tested African languages. Through potential partnerships with active community organizations including African Youth & Community Organization (AYCO) and Florida Africa Foundation, this research aims to establish a practical foundation for accessible, localized, and sustainable AI-driven education in resource-constrained environments. Keeping focus on long-term viability and cultural appropriateness, it contributes to United Nations SDGs 4, 9, and 10. Index Terms - Multi-Agent Systems, Edge AI Computing, Educational Technology, African Languages, Rural Education, Sustainable Development, UN SDG.