AI and Virual Reality for Teaching in Rural Areas

AI and Virual Reality for Teaching in Rural Areas

I would like to develop an AI that will teach students in Rural Niger-Delta of Nigeria (precisely in Emu Kingdom)

Virtual Reality, Artificial Intelligence, Internet of Things

Description

I would like to develop an AI that will teach students in Rural Niger-Delta of Nigeria (precisely in Emu Kingdom) where there are not enough teachers to teach them certain subjects. This will involve culture conducive AI tools and delivery.

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Rafael S. created project Data Stream Mining

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Data Stream Mining

If the application data is very large and the recent data is the most important, by using data stream mining techniques we can extract knowledge to facilitate and simplify decision making. This project intends to study data streaming mining in internet networks, IoT sensors and social media. The machine learning algorithms need modifications to be adaptive and incremental. Modern code is also required to optimize computational resources.

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Paulo P. created project CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

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CAMELBE3 - Machine learning and Intel RealSense for drowsiness detection

Machine learning and Intel RealSense technology for detecting drowsiness, drunkenness and even for predicting if the driver is going to change lanes.

The algorithm is running into an Upboard/laptop with Intel RealSense for capturing facial expressions and eye movements patterns. We tried to create our own version of the Nystagmus Test (not using fingers or pen, but windshield wipers). So far it's not that accurate, but we're working on it.

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Srivignessh P. created project Containerizing Deep Learning Workloads on Xeon Phi Cluster for AI Web Applications

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Containerizing Deep Learning Workloads on Xeon Phi Cluster for AI Web Applications

Today's Web applications are data intensive and demand environments like tensorflow to execute the workloads. Hence, Containers are best suited to provide the framework and compute resources like CPU and memory for each workload. It decouples the app environment from the running machine/host and encapsulates all dependencies in a single portable unit. Nomad is a state of the art tool for scheduling Docker Containers. Test Model Workload is generated from Model Zoo for each framework.

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Gregory M. created project SmartTrans

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SmartTrans

Fatigue-related accidents cost society over $100B a year. Using Big Data, Cameras, IoT, and Mobile we can put an end to that. Find out more at: www.smarttrans.us

We are a pretty international team tackling the issue at the moment. You are definitely welcome to join on the beta-tester side of things. Make sure you reach out to one of us directly so we can add you to the project files quickly.

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RAHUL R. updated status

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RAHUL RAUTELA

I am always eager to work in AI, ML and Deep Learning from my child hood. I had tried a lot, but not getting good resources to start. Can anyone please help me to start my journey in this domain. Thanks

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