XPLORERS

https://prezi.com/view/ckLOkORaa13R4liu2ZUV/

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This project is a 3D printed prosthetic hand that is controlled by a software robot to collect samples of dirt in areas where nature isn't thriving compared to other areas, with the help of satellite images and machine learning. The samples of dirt collected will then be transported to labs to study how the soil can be more fertile & healthy for a variety of plant and animal species, facilitating the healing of the environment. 

Like mentioned before, this project consists of a prosthetic hand controlled by a variety of software to collect samples of soil to test in labs. The software used are: UiPath, which is a global software company for robotic process automation, Azure Machine Learning, which is a cloud service for training & monitoring machine learning and Arduino IDE, a software used to upload code to Arduino boards. Hardware includes motors, an arduino UNO and the 3d printed robotic hand. 

First, UiPath searches Google for specific satellite data that includes a timeline of pictures of the state of the trees in certain area in a country. The software is then coded to take screen shots of the images from, for example, 2000 to 2012. The screen shots taken are then used to train the Azure software to recognize signs of poor environment quality in certain areas. 

Like mentioned before, after the screen shots of the satellite images are collected, they are fed through the machine learning software, Azure. This is done by uploading five images of one scenario. The more images for one scenario are uploaded, the more precise the software will be in recognizing a change. 

After the training portion has been completed, one satellite image of the environment in the certain location is analyzed by Azure, which then categorizes the picture as thriving or non-thriving.

The UiPath software is coded to handle this portion of the project as well. After the software reads the result sent by Azure as a non-thriving environment, it searches google for Arduino IDE- the online software to upload code to Arduino boards.

After UiPath searches google for Arduino IDE, it types the c++ code meant for spinning the motors and then runs it on the Arduino board. 

These motors help open and close the 3d printed robotic hand. Strings run through channels along the palms and outer sides of the hand. One motor is attached to the strings on the outer part of the hand, which allow the fingers to be pulled upwards as the motor spins a certain number of times. 

The other motor is connected to the strings along the inner part of the hand, which allow for the fingers to be pulled closed. 

With this project, I hope to help create a more sustainable environment for a better future.

An example of space agency data I used was pictures of The state of Rondônia in western Brazil to help train the machine learning software to detect and categorize the environment as non thriving/ thriving.

Overall this journey was incredible, there was just so much to learn from everything! I chose this challenge because ss days pass by, the environment only gets worse. With a steadily increasing population and the need for transportation, the world gets more and more polluted. Trees are cut down and animals are left to die. However, new solutions emerge from the darkness, carrying hope for a better future. 

And here is one of them.

I'd like to thank my mother for being a wonderful role model for me. My father, who opened my eyes to the world of technology. Jennifer jones, founder of Greenivy schools for being an amazing mentor for quite some time now.

https://earthobservatory.nasa.gov/world-of-change/Deforestation

-Uipath

-Azure

-Arduino IDE

-Arduino UNO

-Motors

#harware #software #environment

This project has been submitted for consideration during the Judging process.