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Everyday sound classification for danger identification — on cAInvas

Identify sounds that indicate possible danger in the surrounding. Photo by Ekrem EDALI on Dribbble What would your response be if you heard a gunshot or glass break while inside your home? The natural inclination would be to call for help. In most cases, dial the police helpline, a neighbour, a relative, or a friend. A …

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Next day rain prediction — on cAInvas

Predict next day rain in Australia using weather data. Photo by GRAMM on Dribbble A weather forecast is a prediction of how the weather will be in the coming days. Air pressure, temperature, humidity, wind, and other measurements are used by meteorologists along with other methods to predict the weather. Predicting weather requires keen observation skills and …

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Toxic Comment Classification using Deep Learning

Photo by Daniel Montero on Dribbble The importance of maintaining civility on an online forum cannot be overstated. Cyberbullying is defined as “willful and repeated harm inflicted through the medium of electronic text.” It involves sending degrading, threatening, and/or sexually explicit messages and images to targets via websites, blogs, instant messaging, chat rooms, e-mail, cell phones, …

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Text generation using LSTM

Photo by VergilLee_1992 on Dribbble What if I tell you, you can generate your very own stories, poems, texts using deep learning. Fascinating right? In this, article we’ll be discussing more about how this is achievable in-depth. We’ll be working on RNN, and for that, we’ll be using LSTM. Now, what is LSTM? Long Short Term …

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Fuel consumption prediction — on cAInvas

Predict the quantity of fuel consumed during drives. Photo by Tim Constantinov on Dribbble The mileage of a vehicle is defined as the average distance traveled on a specified amount of fuel. But distance is not the only factor that affects fuel consumption. Here, we take into account multiple factors like speed, temperatures inside and outside, …

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Credit Card Fraud Detection-Using Deep Learning

Photo by XPLAI on Dribbble It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. The fraud usually happens when someone obtains your credit or debit card numbers through unprotected websites or through an identity theft scheme in …

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