Plant Disease Prediction Using Deep Learning. (Graduation Project 2023) Bioinformatics, Faculty of Computer and Information Science at Ain Shams University
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Updated
Jun 5, 2025 - JavaScript
Plant Disease Prediction Using Deep Learning. (Graduation Project 2023) Bioinformatics, Faculty of Computer and Information Science at Ain Shams University
WebGL port of EfficientNet using tinygrad
Melanoma is a deadly disease. Image analysis tools that automate the diagnosis of melanoma will improve dermatologists' diagnostic accuracy.
This Arsenic Disease Detection Tool, Dermacare successfully utilizes the potential of machine Learning and image processing techniques to classify skin images as healthy or infected and assess the severity of arsenic-related skin conditions. Along with this it also provides a list of nearest dermatologists for emergency.
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