africa-development-risk-index-model

Africa Development Risk Index Model

AutoScientist Challenge 2026 | Marketing Category

Author: Hussein Adeiza (mabera)
Role: Licensed Environmental Health Officer, Abuja Nigeria
Base Model: Gemma 3 1B (it)
Fine-tuned with: AutoScientist by Adaption Labs

Model Description

This is a LoRA adapter fine-tuned to explain and pitch the Africa Development Risk Index, a composite scoring system combining Health Risk, Economic Risk and Legal Complexity into one unified view for African states and countries. It answers product positioning questions for 8 distinct decision-maker audiences.

The Product

The Africa Development Risk Index synthesizes three models already built in this challenge:

• Healthcare: Nigeria WASH Risk Model + Nigeria Malaria Health Model
• Finance: Nigeria Poverty Prediction Model
• Legal: Africa Environmental Law Model

Instead of three disconnected reports, decision-makers get one unified composite score per Nigerian state or African country.

Training Data

• Source: Original product positioning Q&A authored by the project creator
• Dataset: 14 Q&A pairs across 8 audiences, expanded via Adaptive Data
• Languages: English, Hausa, Yoruba, French
• Quality improvement: 50.0% (Grade C → A)
• Kaggle: https://www.kaggle.com/datasets/yunusahusseinadeiza/africa-development-risk-index-marketing-dataset

Training Metrics

• Win rate: 57% adapted vs 43% base model
• Base model: google/gemma-3-1b-it
• Method: LoRA — House Special + Reasoning Traces + Hallucination mitigation
• Dataset quality: 6.0 → 9.0 (+50.0% improvement, Grade A)

Target Audiences

NGO Program Directors, Impact Investors, Government Policy Analysts, Environmental Compliance Officers, Public Health Researchers, Startup Founders, Journalists, Microfinance Institutions

Why This Matters

NGOs, investors, governments and startups working in Africa typically consult fragmented, siloed data sources, health ministries, finance ministries, environmental regulators, with no single view connecting them. This model explains how a unified cross-domain index helps each of these audiences make faster, better-informed decisions.

Credits

Powered by Adaptive Data — Adaption Labs
AutoScientist Challenge 2026 | Marketing Category
Built on top of: WASH, Malaria, Poverty and Africa Environmental Law models