Scin

Scin

Scin is an app that utilizes a deep feed forward convolutional neural network to detect and diagnose both skin and plant diseases.

Modern Code, Artificial Intelligence

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Description

One out of every twenty people does not have access to medical facilities. Skin diseases and afflictions affect more than 80% of the world’s population and are sometimes a sign of internal problems. Skin diseases are primarily diagnosed visually, and then by more invasive procedures (dermoscopic analysis, biopsy, and histopathological examination). A similar issue arises with plants, with more than 30% of crops in less affluent areas dying due to diseases. Due to this loss of crops, one in nine people are suffering from chronic undernourishment.

Automatically detecting and diagnosing these lesions has been challenging, owing to the variable properties of each disease image. Deep convolutional neural networks (CNNs) are a new method of machine learning, one that is showing to be extremely promising at detecting images with real world variables. (lighting, focus, etc.)

In this project, I classified skin and plant ailments/diseases using a specially developed CNN, trained using only images of the conditions with only pixels and disease labels as inputs. I trained the CNN on a dataset of 200,000 clinical and horticultural images, consisting of 13 human diseases and 17 plant diseases. Outfitted on an IOS device, my application is capable of classifying skin and plant diseases will a level of competence comparable to dermatologists and plant pathologists. All the user must do is aim the camera of the smartphone towards the diseased area, and my application will provide a real-time diagnosis to the user by classifying the image using the CNN. The CNN achieves performance far above any other tested system, and its efficiency and ease of use will prove it to be a helpful tool for people around the world. There are currently 6,000,000,000 mobile subscriptions in place, so, therefore, my application could potentially provide low-cost universal access to vital diagnostics.

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Mariia G. updated status

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Mariia Gavriushenko

Hello. My main research interests are adaptive and intelligent Web-based learning environments, decision support systems, qualitative learning solutions and Semantic Web Technologies. Recently I am working on developing new models for adaptation of learning systems (right now it is adaptive learning vocabulary for small kids, which takes into account words similarities by different aspects). I would like to know more about Machine Learning, Deep Learning and Artificial Intelligence for future creation of adaptive learning systems because it is very important topic taking into account developing technologies and knowing that every person is individual, and has their own learning speed, own knowledge background, and own preferences. Right now I am working on game for kids, which takes into account Semantic words similarity and trying to prove the hypothesis that semantic similarity could influence on the words recognition

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Umesh K. updated status

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Umesh K

RL, Semantics, Image-Information Mining, Interoperability, Stream Analytics, Geospatial Intelligence, Spatial computing and Big Data Management.

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Peter M. created project Facial expression for VR Headset

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Facial expression for VR Headset

VR doesn't currently have any facial expressions, which covers the eye and seeing the mouth.

We will use deep learning to train a whole set of mouth expressions, attach a face facing camera and use that information to do the mouth movement where users can use it in VR.

This way other developers will be able to use the library without worrying about licensing and copyright infringement.

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Mohammed S. updated status

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Mohammed Saad Ansari

I want to make a project which includes both code modernization as well as Artificial intelligence The project is to make a computer language or you can say a IDE software which is less time consuming and more easy to use. The idea we gonna use is we have to make use of software like Google assistant/ Siri and complilers to make a software which can increase interfaces and makes more easy to express ideas and complete a program in less time and make it easy for future generations to learn and share their ideas with the world. Imagine we can create a system software by just sharing our ideas with a software we will make ( like today we use C,C++,phyton,etc languages and compilers to make a new software)and our software will be ready .

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Mohammed S. updated status

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Mohammed Saad Ansari

I want to make a project which includes both code modernization as well as Artificial intelligence The project is to make a computer language or you can say a IDE software which is less time consuming and more easy to use. The idea we gonna use is we have to make use of software like Google assistant/ Siri and complilers to make a software which can increase interfaces and makes more easy to express ideas and complete a program in less time and make it easy for future generations to learn and share their ideas with the world Imagine we can create a system software by just sharing our ideas with a software we will make ( like today we use C,C++,phyton,etc languages and compilers to make a new software)and our software will be ready

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