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- Grow Further - 2023
- Machine Learning Tools for Early Detection of Maize and Common Bean Diseases for Climate Change Adaptation in Tanzania.
- Organization for Women in Science for the Developing World (OWSD) - 2023
- Deep Learning Tools for Early Detection of Diseases Affecting Common Bean and Irish Potato in the Southern Highlands Regions of Tanzania.
- Artificial Intelligence for Agriculture and Food Systems - 2022
- Development of Machine Learning Models for Early Detection of Crop Diseases based on Crop Imagery Data.
- Data Science Africa Research Assistant Program - 2021
- Deep Learning Techniques for Early Detection of Crop Diseases.
- AI4D Post-Doctoral Research Scholarship - 2021
- Deep Learning Techniques for Early Detection of Crop Diseases.
- Lacuna Fund: Labeled Datasets for Agriculture in Sub-Saharan Africa - 2020
- Machine Learning Datasets for Crop Diseases: Imagery and Spectrometry Data.
- L’Oréal-UNESCO Young Talents Award Winner for Sub-Saharan Africa - 2020
- IndabaX-AI4D Innovation Grants - 2020
- Development of Machine Learning Dataset for Poultry Diseases Diagnostics.
- Data for Local Impact Innovation Challenge (DLIIC) - 2019
- Data for Local Impact Innovation Challenge (DLIIC) - 2018
- School Dropout Visualization Tool.
- Data for Local Impact Innovation Challenge (DLIIC) - 2017
- Student Dropout Prediction Tool.
