They all displayed the smooth contours that typify rocks of a fluvial environment. Instead he had some really nice river rocks. Unfortunately, the gentleman didn’t find a single meteorite. He obviously went to a lot of effort to collect these rocks and he was wanting us to tell him if any were meteorites. On these cards he noted where the samples came from, when they were collected, and most importantly, his assumption of what type of meteorite he found. In this box were about four large ziploc bags, each loaded with rocks that were cataloged on 3×9 index cards. Our next steps for Meteor ID include improving our data set for our image classifier to eliminate any misclassifications, which can occur when classifying types of meteorites.Last summer, when I did my first project with the meteorite lab, a gentleman had dropped of a box full of rocks. We also learned how to embed our projects in custom vision ai into our website. We learned how to use Microsoft Azure along with how to make an image classifier using custom vision ai. We are proud that we now know how to create image classifiers, how to use Microsoft Azure, how to integrate our projects into our code, and how to build an app in a day! What we learned It took some time and a lot of reading through documentation to figure out exactly how to do so without getting any errors. Another challenge we ran into was how to integrate our image classifier into our code. We sorted through many images and image datasets to create a suitable dataset which we could use. One of the challenges we ran into while building our app was creating/finding image datasets for meteorites for our classifier to be trained on. We used open street maps for mapping out our meteorite landing locations. We used IBM's Watson Assistant to build our chatbot. We used Microsoft Azure to create our resource group and resources, along with custom vision ai to build our image classifier. We built our web app using HTML, CSS, and JavaScript and hosted it on Qoom. Finally, users can navigate towards our second page in which they can launch our application that determines the user's geolocation (with their permission), and tells them about the meteorite landings that occurred near them. Next users can interact with our chatbot whose purpose is to describe to owners of meteorite(s), prospective meteorite owners, and meteorite enthusiasts a bit about the meteorites they own/like to learn about. If the rock is a meteorite, the user is also told about the type of meteorite they own. Our app asks the user to upload an image of a rock that they suspect to be a meteorite and verify to the user whether the rock is a and ordinary rock, or a meteorite. ![]() An app that tells unknowing meteorite owners, who may not have the time nor resources to get their rock checked to see if it is a meteorite, about whether they have a real meteorite on their hands. So when we heard about this hackathon with a space theme, we decided that we would try and make a space-themed app.Īs children, one of our favorite things to do was to observe meteor showers, so we thought, why not make an app about meteorites. Though our wish to become astronauts has changed over time (as we found we like programming a bit more than exploring space) our fascination with space itself never ceased. My sister and I have long been huge sci-fi fans, and at some point, we both really wanted to go to space ourselves (as astronauts).
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