Drone and AI surveillance for eliminating Malaria
Adopting Drone and AI to support public health
Our project uses drone and AI technology to enhance malaria control by targeting mosquito breeding sites, reducing malaria incidence. Drones conduct environmental monitoring and data collection, while AI handles surveillance prediction, risk classification, and data analysis. The project brings cost-effective, efficient larval management, risk mapping, and community protection. It builds local capacity through training and offers a unique, scalable approach. Our innovation also gives unique value of classifying communities at risk of mosquito-borne diseases.Ongoing project is in Ghana and Sierra Leone. For this grant, we will adopt in Benin.
This project is lifechanging: using drones and AI technology to enhance malaria control by targeting mosquito breeding sites, reducing malaria incidence. The approach is unique using technology, training local communities and easy scalable in several regions and countries.
WINNER STATEMENTWe are thrilled and honored to receive this recognition for our project. The iF SOCIAL IMPACT PRIZE validates our efforts and provides crucial support for ongoing and new initiatives. We will use it to enhance our drone & AI efficiency, aiming to eliminate malaria and protect vulnerable communities.
Design