Idea 1

• Name of Your Project? Corner Finder AI

• What research topic/question your project is going to address? Can deep learning and/or neural networks be used over a set of imagery to identify rectilinear structures which might be undetectable to the human eye (in other words, structures that are buried, or very obfuscated).
• What technology will be used in your project? Drones and drone imagery, as well as machine learning concepts like deep learning with training data and neural networks.
• What software and hardware will be needed for your project? I would like to make this project so that it can be used with the data the IFS trip collected from Iceland this summer. This also gives me an advantage with testing/learning data, as we created quite a stockpile of the kind of drone imagery I would like to analyse. 
• How are you planning to implement? I plan to use python, or another language to create the software for this, possibly with support from some libraries (depending on language).
• How is your project different from others? What’s new in your project? From my first hand experience and preliminary research, it seems that most image analysis like this is done through direct processing of data, rather than by training an AI. The scripts we have used are mostly filtering the data that is there, rather than analyzing patterns. I think that this different approach might help us find things we wouldn’t find otherwise.
• What’s the difficulties of your project? What problems you might encounter during your project? The main difficulty will likely be the complicated nature of this kind of software. I have a medium level of experience with AI concepts, but something at this level will undoubtedly get murky with details eventually.
  

Idea 2

• Name of Your Project? Scatter Box
• What research topic/question your project is going to address? Is there an analysis based solution for organizing sounds based on their parameters? Can it be applied to music creation / production / organization? Can it be applied to scientific data? Can it be made efficient enough to be practical? Can it be abstracted to be broader; perform the same analysis over images, or text. In many ways, what I want this to be is a user-friendly, abstract K-nearest-neighbor classifier.
• What technology will be used in your project? Audio Manipulation algorithms, maybe other analysis algorithms for things other than audio (pictures, text), 3D data plotting.
• What software and hardware will be needed for your project? Libraries that include processing ability like Numpy and Pyaudio, 3d mesh plot output (matplotlib has a simple version of this).
• How are you planning to implement?  I plan to use python, or another language to create the software for this, possibly with support from some libraries (depending on language).
• How is your project different from others? What’s new in your project? There are many software options for organizing and evaluating sounds. What makes this project stand out is the idea of visualizing the data in terms of the actual parameters of the audio. These parameters could be anything from audio length, to pitch or frequency, and more could be added throughout the course of the project, as testing made it clearer which were the most beneficial to the purpose of the project.
• What’s the difficulties of your project? What problems you might encounter during your project? There could be problems with processing efficiency, as well as with the actual output of the program. I haven’t worked much with programming visuals, let alone 3d visuals.

Idea 3

• Name of Your Project? Earlham CS Info Tool / Resource Concatenation Tool
• What research topic/question your project is going to address? The CS department at Earlham has a huge range of resources available to students through the cs.earlham.edu website. Many of these resources, however, are somewhat buried. Taking myself for example, I didn’t find out about some of the available resources, such as the CS wiki, until after I was a Junior CS major. 
• What technology will be used in your project? Android Development Environment,Cross-platform Development Environment (Maybe React Native), Web Environment (Javascript, Node, React), Crawl and catalog specific websites for information.
• What software and hardware will be needed for your project? Requirements might include access to Apple devices for development and testing, such as a mac/MacBook (could use one in hopper, or another lab), and some version of iPhone for testing if making a mobile app is the most effective.
• How are you planning to implement?  I plan to use a platform-agnostic framework, such as React Native, to provide as broad of support as possible to students. 
• How is your project different from others? What’s new in your project? All the information to provide students with the help they need is there, but it needs to be connected in a simple, front-facing user interface. My project would provide a single, unified way to search the information made available to students in CS. The project would (in theory) be able to search all the resources, including the CS website, as well as the CS wiki, portfolio page, and any other resources. From a single search bar, the app would be able to return a list, sorted by relevance or most recent, of all the matching information from each one of these resources. My side goal for this project is to create a more abstract version of the concept, capable of applying the same combined search to a user-defined set of web pages and resources. 
• What’s the difficulties of your project? What problems you might encounter during your project? I have little experience with crawling web pages for data, which could be a big part of the implementation of the project.