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OOD-in-Dermatology
August 7, 2023 – May 31, 2025
Identifying out of distribution detection and study OOD detectors fairness in dermatology.
View ProjectAutomated-Spider
October 10, 2022 – October 10, 2022
An autaumated spider robot named Bob Rs 3000 ,
View ProjectPlant-leaf-diseases-detection-
October 4, 2022 – April 12, 2024
The automated identification of plant diseases based on plant leaves is a huge breakthrough. Furthermore, early and accurate detection of plant diseases positively impacts crop productivity and quality. However, managing the accessibility of early plant disease detection is crucial. This work has environmental goals aiming to save plants from different threatening diseases by providing early detection of the affected leaves. We studied the performance of different Convolutional Neural Network (CNN) architectures in predicting 26 diseases for 14 plant species. The work studied the complexity of the system and compared the two main deep learning frameworks, TensorFlow and PyTorch, to get the most accurate results with higher accuracy. Using the "New PlantVillage Dataset" from Kaggle [1], the TensorFlow models achieved an accuracy of 90,94% for the basic CCN architecture, and 95,59% for the Transfer Learning architecture with VGG19. Whereas the PyTorch models achieved an accuracy of 93,47
View ProjectBaobab
January 8, 2019 – Present
Baobab is an open source multi-tenant web application designed to facilitate the application and selection process for large scale meetings within the machine learning and artificial intelligence communities globally. Supported by the Deep Learning Indaba
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, some of which align with the target role of Data Scientist (e.g., OOD detection, plant disease detection). The 'Baobab' project indicates some experience with web application development, suggesting a broader technical interest. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond individual initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.