Artificial Intelligence

Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.

NASA Frontier Development Lab: Space Resources - Localization

URL: http://moonbench.space/

Description:

This project developed: (1) a virtual dataset designed to test automated localization algorithms on planetary surfaces, such as the Moon or Mars, where GPS is unavailable; (2) a neural network approach for absolute localization by matching orbital maps with surface perspective imagery.

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violence and crime detection(kidnapping, stealing) in public and educational milieu

URL: https://github.com/Tchouanga12/violenceDetection

Description:

This project entails in taking in consideration all the criminal and violent acts which occur within our society. This project came to life due to the rampant misbehaviors of young scholars in the school milieu such as aggressive attacks towards teachers and instructors , rape

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Face-Mask Detection using Keras

URL: https://github.com/Tanvesh-11/Face-Mask-Detection

Description:

In this project, we are going to see how to train a COVID-19 face mask detector with Keras, and Deep Learning. I'm using Python Script to train a face mask detector The script additionally is divided into two parts: 1. Detect COVID-19 face masks from image 2. Detect face masks in real-time video

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AI based Smart Mirror for enhancing selfie experience

URL: https://github.com/TinaChandwani/Smart-Mirror

Description:

A smart mirror is an application that enhances the user-experience of taking pictures.It classifies the natural beauty of humans which is not limited to fairness. Our system will help categorize beauty with respect to the anatomy of the face and other attributes.

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Efficiency and productivity for decision-making on mobile SoCs

URL: https://bitbucket.org/corbera/vi-mdp/src/oneAPI/

Description:

Markov decision processes provide a formal framework for a computer to make decisions autonomously and intelligently when the effects of its actions are not deterministic. To solve this computationally complex problem, we experiment with scheduling on a low-power heterogeneous CPU+GPU SoC platform.

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