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Public- This open-source data science project, conducted in collaboration with Omdena and the Silicon Valley Chapter. Leveraging ML models with weather and climate data to forecast sub-seasonal temperatures in the U.S., enhancing preparedness for extreme weather events.
- This open-source data science project, conducted in collaboration with Omdena. Developing a multimodal AI model that integrates chest X-rays and EHR/clinical data to improve the detection accuracy of pneumonia and tuberculosis. This project leverages advanced machine learning techniques to provide actionable insights for healthcare decision-making.
omdena-kenya-floodimpact
Public- 🥭 Designed and optimized a CNN architecture to accurately detect and classify 7 types of mango leaf diseases, reaching 99.21% test accuracy
- his project aims to enhance weather prediction accuracy for Karachi using machine learning and Python. By developing advanced predictive models, we seek to improve forecast precision and lead times, aiding in better preparation for extreme weather events. The repository includes data collection, model training, evaluation, and visualization script
JKT-Smart-Traffic-System
Publicpothole detection, traffic density classification, vehicle type categorization