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	<title>CNN Architecture</title>
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	<description>on-device tinyML and AIoT solutions for IoT devices and microcontrollers</description>
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	<title>CNN Architecture</title>
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		<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>
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		<title>Fall Detection using CNN architecture</title>
		<link>https://ai-tech.systems/fall-detection-using-cnn-architecture/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sun, 27 Nov 2022 09:43:50 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Fall Detection]]></category>
		<category><![CDATA[Fall Detection using CNN architecture]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/fall-detection-using-cnn-architecture/</guid>

					<description><![CDATA[<p>Photo by Julien Laureau on Dribbble Introduction Fall detection is major problem in healthcare. Old people fall often and there should be immediate aid for them as injury can be series, even lead to the death. In this project, we will use Convolutional Neural Network architecture to detect whether a person has fallen or not in [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/fall-detection-using-cnn-architecture/">Fall Detection using CNN architecture</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Tomato Disease Detection with CNN Architecture</title>
		<link>https://ai-tech.systems/tomato-disease-detection-with-cnn-architecture/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Thu, 24 Nov 2022 13:43:44 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[Tomato Disease Detection]]></category>
		<category><![CDATA[Tomato Disease Detection with CNN Architecture]]></category>
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					<description><![CDATA[<p>Photo by Jonas Mosesson on Dribbble Introduction Tomato Disease Detection with CNN Architecture &#8211; The aim of this project is to identify various diseases on tomatoes based on their leaves. It is very important in agriculture to identify diseases immediately. To detect the problem in real time, we develop Deep Learning model that can be installed [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/tomato-disease-detection-with-cnn-architecture/">Tomato Disease Detection with CNN Architecture</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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		<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>
		
		
		
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		<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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		<item>
		<title>Mushroom Classification Using Deep Learning</title>
		<link>https://ai-tech.systems/mushroom-classification-using-deep-learning/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sun, 13 Nov 2022 05:13:31 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[AgTech Farming]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Mushroom Identification]]></category>
		<category><![CDATA[cAInvas]]></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 Dataset for Mushrooms]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Learning models]]></category>
		<category><![CDATA[Deep Learning Techniques in Botany]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[Edible Mushroom AI Detection]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Image processing]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Machine Learning in Mushroom Classification]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Mushroom Classification Deep Learning]]></category>
		<category><![CDATA[Mushroom Classification Using Deep Learning]]></category>
		<category><![CDATA[Mushroom Image Recognition AI]]></category>
		<category><![CDATA[Mushroom Species Dataset for AI]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Poisonous Mushroom Identification AI]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/mushroom-classification-using-deep-learning/</guid>

					<description><![CDATA[<p>Photo by Marianna Che on Dribbble Mushrooms!! Creamy Mushroom Bruschetta, Mushroom Risotto, Mushroom pizza, Mushrooms in a burger, and what not! Just by hearing the names of these dishes, people be drooling! Their flavor is one reason that takes the dish to the next level! But have you ever wondered if the mushroom you eat is [&#8230;]</p>
<p>The post <a href="https://ai-tech.systems/mushroom-classification-using-deep-learning/">Mushroom Classification Using Deep Learning</a> appeared first on <a href="https://ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
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