UgonjwaPredictiv

UgonjwaPredictiv
Author
Muhumuza Joshua
Release
2020-10-26 13:55:107
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0
Collaborators
5
Budget
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Amount Raised
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Sectors
Embedded/IoT System
Azure Machine Learning-Based Disease Prevalence Prediction System using BDT and Neural Networks Regressions. Computing Algorithms & Services UgonjwaPredictiv supervised learning models to perform a specific task or to predict the probability of a case malaria prevalence percentages per region or district.
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Project Team

Name Role
Mr. Kamulegeya Grace Solutions Architect and Technical Advisor
Agasi Herbert software documentation and Report
Akankwasa Agnes Software Developer
Katende Andrew User interface design
Mugisa Bright Requirements collection and analysis

Project Features

Feature Name Feature Descritpion

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UgonjwaPredictiv