Name | University | Path | ID | Status | Github | |
---|---|---|---|---|---|---|
M. Wisnu Mubarok | Universitas Pamulang | Machine Learning Path | M288BSY0918 | Active | Github | |
Nadilla Madjid | Universitas Trilogi | Machine Learning Path | M330BSX0376 | Active | Github | |
Fajar Arya Buana | Universitas Islam Indonesia | Machine Learning Path | M214BSY1642 | Active | Github | |
Cintya Puspita Anggraini | Universitas Sains dan Teknologi Komputer | Cloud Computing | C498BSX3013 | Active | Github | |
Chandra Halim | Universitas Nurdin Hamzah | Cloud Computing | C614BSY3324 | Active | Github | |
Heaven Valentine | Universitas Katolik Soegijapranata | Mobile Development | A233BSX2278 | Active | Github |
Healthcare & Public Health
TemanTB is an innovative application specifically designed for monitoring tuberculosis (TB) sufferers using Machine Learning (ML) technology and natural language processing (NLP). The app offers a comprehensive solution through health scanning and medication reminder features, aiming to improve patient compliance with their medication schedules.