Deep Learning models

Detect the weather in images — Image tagging on cAInvas

Tag images with weather-related data using deep learning models. Photo by Sergey Galtsev on Dribbble Image tagging refers to labeling the different parts, components, and expressions in the image. This helps in selecting images based on content and is very useful in search engines and other similar applications. As a manual process, image tagging is tedious. It …

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Checking the quality of manufactured goods — on cAInvas

Use deep learning to identify the defective goods in the manufacturing line. Photo by Yulia Yu on Dribbble Production of goods is a highly automated process. The goods produced in bulk are not immune to defects and identifying defective products is a crucial part of the manufacturing process to maintain the reputation of the product in …

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Using lung CT scans for Covid 19 diagnosis

Early diagnosis and quarantine of the coronavirus is an important step in curbing further spread. Photo by Cloudy gif Coronavirus disease (COVID 19) is an infectious disease caused by the coronavirus. This affects the respiratory system of the infected person and in most cases, they recover without any special treatment. It can turn into a serious illness …

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Is this honey bee carrying pollen?

Use deep learning to differentiate between honey bees that are and aren’t carrying pollen. Photo by Thinkmojo on Dribbble Bee pollen is a ball or pellet of field-gathered flower pollen packed by worker honeybees, consisting of simple sugars, protein, minerals and vitamins, fatty acids, and other components in small quantities. This is the primary food source for …

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Resume Screening using Deep Learning on Cainvas

Photo by Joe Le Huquet on Dribbble Resume Screening is necessary when companies receive thousands of applications for different roles and need to find suitable matches. For this project, the dataset originally consists of 2 columns — Category and Resume, where the Category denotes the field (eg: Data Science, HR, Testing etc.). By using the resume as an …

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