• Join innovators, data scientists, developers, researchers, and public health professionals for a high-impact hackathon dedicated to using Artificial Intelligence to strengthen climate and health resilience in Cameroon.

• We are mobilizing AI and data science to transform environmental and climate data into actionable solutions that support public health decision-making and climate adaptation strategies.

🎯 The Challenge

Cameroon is experiencing increasing air quality degradation, amplified by climate variability such as heat waves, stagnant winds, and dust storms. The lack of predictive tools limits preventive public health action.

Your Mission:

• Predict air pollution indicators using meteorological data

• Identify climate-related aggravating factors across regions

• Design clear, accessible decision-support tools for policymakers and communities

This is your opportunity to build solutions that matter.

👥 Who Can Participate?

We welcome:

• Data Scientists & AI Engineers

• Software Developers

• Students & Researchers

• Professionals in Health, Environment, Agriculture, and related fields

Team Requirements:

• 2 to 4 members per team

• Multidisciplinary and gender-diverse teams strongly encouraged

Whether you’re a technical expert or a domain specialist, your contribution is valuable.

📊 The Dataset

Participants will work with an official dataset prepared specifically for Hackathon IndabaX Cameroon 2026.

Dataset Overview:

• Coverage: 42 cities across the 10 regions of Cameroon

• Period: January 2020 – December 2025

• Volume: 87,240 daily observations

Included Variables:

🌡 Temperature (min / max / average)

🌬 Wind speed & direction

🌧 Precipitation & humidity

☀ Sunshine duration & solar radiation

📍 Geographic data (city, region, latitude, longitude)

Participants may enrich their analysis using additional external data sources where relevant.

📦 Expected Deliverables

1️⃣ Prediction Engine (Technical Core)

2️⃣ Interactive Dashboard

3️⃣ Impact & Communication Package