TopDoc

Background

When students are in medical school they have many different things that they need to memorize. Currently, students will make their own flashcards or do repeatedly reading to memorize things. People have compared the large quantity of information to an entire language to learn. There are applications that exist to learn other languages that focus on daily use to commit the new words to memory. Since the frequency of studying is similar for both medical terms and a language, the language learning applications could be changed to make a new way of learning medical information.The application could be used throughout the day to enforce good learning habits and help with memorization quicker than conventional methods.

Executive Summary

A mobile application would be the best solution for this problem because of the portability. It would allow users to practice on the app whenever they wanted to, no matter their location. Also since most people always have smartphones on them, it would be easy to give a user notifications about practicing at any time.  There could also be a web application to go along with the mobile app to allow for people to use a computer instead of a phone. This solution provides the most value because it is portable and fast which will allow users to practice whenever they need to.

Viability Analysis

Overall, this  solution is very viable, there are existing mobile applications that have similar functionality. Some difficulties will be creating assessment methods for a user to advance from one section to another. Also the frequency of training, as well as quantifying progress will be difficult as well. A constraint will be understanding of medical terminology, but it seems like there would be resources available from the client to help with this.

Risks and Rewards

Medical school is a very regulated area, and there would be risks for making an app that would be used to supplement learning in medical school. Having incorrect information could have legal repercussions as well as backlash from the medical community. A reward of this project would be to be the first application on the market that has the functionality of learning medical terminology. Another reward would be that this project could also help doctors be better at their jobs, which means better health care.

Closing

An application that helps medical students and medical professionals stay sharp could be revolutionary. It could lead to an increase in quality of healthcare. Since applications that have similar functionality, but for languages,  there are some resources available that can be used to refine the studying aspects of the application.

Peanut Pal

Background

The practice of Oral Immunotherapy is used to treat young children with severe food allergies. The therapy works by taking increasing amounts of a solution over the course of a year. This process needs to be documented over time. After taking the daily dose, the patient can not exercise until two hours after taking the dose. A voice application could provide this functionality by talking to the patient and reminding them when to take doses and when they can exercise again.

Executive Summary

An application that would run on some sort of voice controlled speaker could solve this problem. There are multiple API’s that currently exist that can be used to achieve this. The application would enter dosage information into a database that parents of patient could access any time they wanted to. Also the application would remind the child every day to take the correct dose and it would confirm after the dose is taken, so it is recorded. If no dose is taken, it could remind the parents to give the dose. Also it could recognize the difference between parent’s and child’s voice so it could have parental override features.

Viability Analysis

Some difficulties associated with this project would be the interaction between application and child. The voice recognition could have problems with the speech of a child. Another problem would be creating a complete documentation, if a child does not take a dose some day, or there are other issues there needs to be an override option or else the documentation would not be complete. Also there is no real way to validate if the child actually takes the dose, they could just lie. Lastly, there needs to be safeguards in terms of the dosage, the application needs to have failsafe features that make sure the correct dose is always given.

Risks and Rewards

The major risk involved in this project is the safety of the child undergoing therapy. There should be guards in place so the child never is directed to take the wrong dosage. The reward of this project is that it could be widely used by parents and physicians to help complete Oral Immunotherapy. It could have widespread exposure if the application streamlined the process to the point where the parents had minimal interaction.

Closing

With the growth of Oral Immunotherapy this application is on the cutting edge of medical technology and mobile technology. It has the potential to help anyone who is undertaking the process of OIT. Also this project has the potential to help many children treat themselves with minimal help from parents, and all they need to do is talk.

Capturing Emotional Reactions to Data Visualization

Background

Many corporations spend large amounts on creating data visualizations but there are no tools to track  consumer’s emotional state when they are looking at a visualization. Data is being produced now at a large enough rate that many companies do not know how to handle the data. Because of this, companies are starting to do data visualization so the data is easier to digest than just looking at numbers. Also it can be easier to find trends visually than by just looking at numbers. A system to recognize emotion while looking at data visualization could help people to make decisions about how they visualize data and what reaction others might have to the data.

Executive Summary

There are multiple API’s that currently exist to track emotion in faces. Some of them are based on using Artificial Intelligence to learn about facial details and change over time while others use  facial geometry to give percentages of  emotions a face is representing. The system should be able to take in both pictures and videos of faces and then return some of the emotions present in the input. It could also give a emotional state over time. Lastly, it could also track eye movement to see what part of the data visualization the consumer is looking at.

Viability Analysis

The main constraints of this project will be to produce reliable and correct results for a person’s emotional state. The quality of video or pictures that are input into the program will dictate the reliability of the results. In addition, the different API’s may also produce different results so the most reliable one must be found. Also the API’s will have steep learning curves since they are based on Artificial Intelligence or Machine Learning. A large portion of time may also need to be devoted to train the program to recognize different emotions.

Risks and Rewards

There are privacy risks involved with this project because it involves using photos and videos of the people. Consent will need to be gained from every person who has their recording submitted to the application. There is also a risk that the API’s could be not reliable and not produce the correct results. The reward of this project would be an accurate tool that could be used by many different companies to help them improve their current data visualizations.

Closing

This project is one that could have a large upside potential. The field of emotional recognition is just taking off because of the strides in AI that have been made recently.  There are not many tools that currently exist to do what the proposal is asking for, so completing this could give an advantage in the market for the company using it.

LEVI ADAIR
60 Erbs Woods, Manheim, PA, 17545
Phone:717-572-8117
laa024@bucknell.edu
GitHub: https://github.com/leviadair1

Objective
Well-rounded senior looking to obtain a position in the financial industry.

Education
Bucknell University
Bachelor of Science in Computer Science and Engineering
Awards: Dean’s List
Study Abroad: University of Edinburgh, Scotland, Spring 2017

Skills

                                                              Coding Languages : C, C++, Java, Python, JavaScript, Assembly                                                                Frameworks: Springboot (Java), Ember (Javascript)
Limited Proficiency: Haskell, PROLOG, Rust,Verilog
Technologies/Environments: Agile Development, NetBeans IDE, Eclipse IDE, Visual Studio, Linux

Experience
Technology Analyst Intern, JPMorgan Chase & Co., Columbus, OH       Summer 2017
Participated in full stack application development in Corporate & Investment Banking division

Process Control Intern, Alcoa, Lancaster, PA       Summer 2016
Designed communication program (Visual Basic) for aluminum measuring gauge
Created application (Java) to make metal production process more efficient

Leadership
Study Group Facilitator, Bucknell University
Fall 2016 – Present
Provide supplementary help to students, teach study habits, adapt to students learning styles

Tour Guide, Bucknell University
Fall 2015 – Present
Lead tours, and provide individualized information, excel at written and verbal communication

Orientation Assistant, Bucknell University
Fall 2015
Led a hall of first years through a week long orientation process

Bucknell Men’s Club Volleyball Team
Fall 2014- Present
Captain Fall 2015-Present
Organize practice and game times, fundraising opportunities, attend meetings, facilitate practice

Bucknell University Orchestra
Fall 2014 – Present
Principal Bass Fall 2015-Present
Lead Double Bass section during rehearsals

Activities
Member, Chi Phi Fraternity
Fall 2015 – Present

Public Relations Chair Spring 2016
Responsible for managing budget and planning events

Activities Chair Fall 2017
Responsible for managing budget and planning events