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	<title>TinyML Devices</title>
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		<title>Pytorch Mnist Vision App for TinyML devices using cAInvas</title>
		<link>https://ai-tech.systems/pytorch-mnist-vision-app-for-tinyml-devices-using-cainvas/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sun, 11 Dec 2022 17:29:46 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[handwritten digit recognization App]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Pytorch Mnist Vision App]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/pytorch-mnist-vision-app-for-tinyml-devices-using-cainvas/</guid>

					<description><![CDATA[<p>Photo by Denis Dmitriev on YouTube Digit recognition is a procedure adopted by machines to recognize handwritten digits. In the real-world online recognition of digits is done by machine to recognize bank cheque amounts, evaluating numbers filled up hands-on various documents like tax forms, and so on. A difficulty in the case of handwriting digits is [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/pytorch-mnist-vision-app-for-tinyml-devices-using-cainvas/">Pytorch Mnist Vision App for TinyML devices using cAInvas</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<title>ASL Recognition with TinyML devices</title>
		<link>https://ai-tech.systems/asl-recognition-with-tinyml-devices/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sun, 11 Dec 2022 10:54:43 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[ASL Recognition]]></category>
		<category><![CDATA[ASL Recognition with TinyML devices]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/asl-recognition-with-tinyml-devices/</guid>

					<description><![CDATA[<p>Photo by Jay Mike Tee on Giphy Mute and deaf people communicate entirely with the American Sign Language (ASL) in the United States and Canada. Originating in the 19th century, this language system has evolved significantly over time, relying mostly on hand movements. However, the knowledge of sign language is usually limited to the deaf community [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/asl-recognition-with-tinyml-devices/">ASL Recognition with TinyML devices</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Hate Speech and Offensive Language Detection</title>
		<link>https://ai-tech.systems/hate-speech-and-offensive-language-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sat, 10 Dec 2022 13:13:04 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI for Online Safety]]></category>
		<category><![CDATA[AI Tools for Hate Speech]]></category>
		<category><![CDATA[AI-Tech Systems Hate Speech]]></category>
		<category><![CDATA[Artificial Intelligence Hate Speech]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Cainvas Platform]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[Content Moderation AI]]></category>
		<category><![CDATA[Convolutional Neural Network]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning for Content Moderation]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Learning models]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[Detection model]]></category>
		<category><![CDATA[Digital Civility]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Hate Speech and Offensive Language Detection]]></category>
		<category><![CDATA[Hate speech detection]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Machine Learning Offensive Language]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Offensive Language Detection]]></category>
		<category><![CDATA[Online Harassment Prevention]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/hate-speech-and-offensive-language-detection/</guid>

					<description><![CDATA[<p>Nowadays we are well aware of the fact that if social media platforms are not handled carefully then they can create chaos in the world. One of the problems faced on these platforms are usage of Hate Speech and Offensive Language. Usage of such Language often results in fights, crimes or sometimes riots at worst. [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/hate-speech-and-offensive-language-detection/">Hate Speech and Offensive Language Detection</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<title>Gesture recognition using TinyML devices —  home automation applications</title>
		<link>https://ai-tech.systems/gesture-recognition-using-tinyml-devices-home-automation-applications/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Mon, 05 Dec 2022 13:50:33 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Gesture recognition]]></category>
		<category><![CDATA[home automation applications]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/gesture-recognition-using-tinyml-devices-home-automation-applications/</guid>

					<description><![CDATA[<p>Recognize common gestures using the accelerometer and gyroscope sensors and use the same in implementing a home automation system. Photo by Marco Coppeto on Dribbble and Matt Harvey on Vimeo TinyML &#8211; A gesture is the movement of the hand to express an idea or meaning. There are various ways of reading a gesture. The aim [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/gesture-recognition-using-tinyml-devices-home-automation-applications/">Gesture recognition using TinyML devices —  home automation applications</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Heart Disease Prediction using Neural Networks</title>
		<link>https://ai-tech.systems/heart-disease-prediction-using-neural-networks/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Wed, 16 Nov 2022 10:30:06 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI Algorithms for Heart Health]]></category>
		<category><![CDATA[AI and Machine Learning in Heart Disease Prediction]]></category>
		<category><![CDATA[AI Cardiac Diagnostics]]></category>
		<category><![CDATA[AI for Cardiology]]></category>
		<category><![CDATA[AI Healthcare Solutions for Heart Disease]]></category>
		<category><![CDATA[AI Predictive Models in Healthcare]]></category>
		<category><![CDATA[Artificial Intelligence in Heart Disease]]></category>
		<category><![CDATA[best algorithm for heart disease prediction]]></category>
		<category><![CDATA[Cainvas Platform]]></category>
		<category><![CDATA[Cardiovascular Disease Detection AI]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Classifier]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[Convolutional Neural Network]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Heart Disease Prediction]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Neural Networks Cardiology]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Heart Disease Prediction]]></category>
		<category><![CDATA[Heart Disease Prediction AI]]></category>
		<category><![CDATA[Heart Disease Risk Assessment AI]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Machine Learning Heart Disease Diagnosis]]></category>
		<category><![CDATA[Machine Learning Models for Heart Disease]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Neural Networks for Cardiac Disease Prediction]]></category>
		<category><![CDATA[Neural Networks in Healthcare]]></category>
		<category><![CDATA[NN]]></category>
		<category><![CDATA[Parkinson's Disease detection]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[prediction of heart disease]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<category><![CDATA[Using Neural Networks to Predict Heart Disease]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/heart-disease-prediction-using-neural-networks/</guid>

					<description><![CDATA[<p>Photo by Diana Pasternak on Dribbble Heart disease refers to any condition affecting the heart. There are many types, some of which are preventable. Share on Pinterest mikroman6/Getty Images. Unlike a cardiovascular disease, which includes problems with the entire circulatory system, heart disease affects only the heart. This project will focus on predicting heart disease using [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/heart-disease-prediction-using-neural-networks/">Heart Disease Prediction using Neural Networks</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Resume Screening using Deep Learning on Cainvas</title>
		<link>https://ai-tech.systems/resume-screening-using-deep-learning-on-cainvas/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Wed, 16 Nov 2022 09:20:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI and Machine Learning for Recruitment]]></category>
		<category><![CDATA[AI for Resume Analysis]]></category>
		<category><![CDATA[AI Resume Parser]]></category>
		<category><![CDATA[AI Tech Systems Cainvas Review]]></category>
		<category><![CDATA[ANN]]></category>
		<category><![CDATA[Automating Resume Screening with AI]]></category>
		<category><![CDATA[Cainvas AI Projects for HR]]></category>
		<category><![CDATA[Cainvas Deep Learning Projects]]></category>
		<category><![CDATA[Cainvas Platform]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Classifier]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[Convolutional Neural Network]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning in HR Technology]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Learning models]]></category>
		<category><![CDATA[Deep Learning Resume Screening]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[Efficient Resume Screening Techniques]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Enhancing HR Processes with AI]]></category>
		<category><![CDATA[How AI Transforms Resume Screening]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Next-Generation Resume Screening Solutions]]></category>
		<category><![CDATA[NN]]></category>
		<category><![CDATA[Resume Screening Automation Tools]]></category>
		<category><![CDATA[resume screening software]]></category>
		<category><![CDATA[resume screening tool]]></category>
		<category><![CDATA[Resume Screening using Deep Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/resume-screening-using-deep-learning-on-cainvas/</guid>

					<description><![CDATA[<p>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 [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/resume-screening-using-deep-learning-on-cainvas/">Resume Screening using Deep Learning on Cainvas</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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