The Instructional Equity Observing Tool is an online video/audio analysis tool that is geared towards assisting the teachers and faculty of educational institutions in analyzing and understanding how their interaction with students translates into real learning. Our platform is meant to replace the current, manual method of analysis that many teachers/instructors perform to try and quantify different metrics about their teacher-student interaction. Instructors have expressed desire to view metrics such as the time the teacher talks during a lesson, what is the response time of students to those questions, and other data points such as the types of questions being asked (as categorized by Bloom’s Taxonomy). Quantifying these instructional variables helps these instructors more accurately understand the areas that they are strong in, and more importantly, the areas in which they can be more interactive with the students as to allow them to better absorb the lessons being taught. With the help of our tool, we can allow teachers to quickly and efficiently gather this data about each of their lessons so that data driven changes in teaching techniques is possible, and moreover, so that teachers can identify potential vectors of ineffective instruction.
The process for using this application is for a user to login/sign-up for our site, then they will proceed to upload either an audio or video file to the designated location. Our tool will then take that video/audio file and execute a customized API call to AssemblyAI (https://www.assemblyai.com/) that transcribes this file into text. We then perform specialized data manipulation operations on the transcript to generate all the different metrics and display them in an easy-to-read format that the user can then scroll through and analyze the results. The user will also have the option to save this report that is generated as a pdf, which they or an administrator role will be able to access and view again at a later time.
Our application is hosted using Amazon Web Services (AWS) and utilizes many different functionalities that this service provides. AWS manages our authentication and authorization, user account management, and report storage functionalities. Our current system does not use its own machine learning model and instead offloads transcription to the AssemblyAI API, however this could be updated in the future with the addition of large datasets for training. A specifically trained machine learning model in this case could provide a more accurate categorization of questions and a more flexible tool that could eventually make predictions or suggestions to the user on the best ways to improve their teaching methods.

Open Planner is a web application designed to meet the increasing need for college students to have a way to more easily organize and access major
assignment/exam dates across all courses during busy college semesters. Open Planner seeks to ease agenda making for students by parsing uploaded student syllabi for major assignment/exam dates and generate a personalized calendar the student can access from his/her account upon sign-up and syllabus upload. Once they have access to their personal calendar, students will be able to add events, delete and modify existing events, and customize their course calendars, giving them fast access to a customized and modifiable calendar without the time demanding task of looking through course syllabi and adding major dates one by one.

Indigenous communities have a deep-seated understanding of the importance and sacredness that their land has in their daily lives (native lands.ca); they have a deep sense of place. The primary objective of Native Meteorites (NaMe) is to amplify the work of the Native Earth | Native Sky (NENS) program by recognizing the critical importance of free-choice learning in STEM education and providing a different lens through which STEM can be made culturally relevant for students in Native American nations.
This project focuses specifically on meteorites found on the lands of the three Oklahoma Native American tribes participating in NENS and provides a concrete example of the cultural relevance of planetary science and STEM, utilizing concepts that are deeply rooted in a sense of place. The goal of this project is to increase the interest and participation of an underrepresented important people group in the national STEM workforce, as well as provide an example of the relevance of place-based STEM education for all individuals.
This project consists of an interactive map, which displays where relevant meteorites landed; and also provides supplementary resources for education. Members of the NaMe project will develop STEM resources that focus on meteorites found on Native American Lands. This will be unlike other free-choice learning because this interactive map caters specifically to indigenous peoples’ learning styles.
In collaboration with Native American individuals, the team designed the site layout, content, and imagery to be as inclusive and considerate as possible. The product of this project ultimately caters to an audience that is quite underrepresented– so we used conscious software development in the website-building process.
The interactive map feature of this site will increase the interest and participation of an underrepresented important people group in the national STEM workforce, as well as provide an example of the relevance of place-based STEM education for all individuals.

The system to be is BMW Performance Horse Database, also referred to as BMWPHD. The client is Brooke Wharton with BMW Quarter Horses. The purpose of her company is to breed and raise horses for reining and reined competitions. Currently this field faces the issue that horse data is spread over multiple different platforms that do not communicate with one another. With that, the main objective of BMWPHD is to create a user-friendly searchable database for the task of finding and ranking horses for breeding, buying, and determining show schedules. The users of this application include fans, riders, coaches, judges, and investors in the sport. The hope is to not only bring more fans to the sport through the easy access to data, but also improve the level of competition so that the horses can be bred stronger and therefore perform at a higher level within the sport. On the technical side, the system will be implemented with the following technologies: the frontend will use Vue.js, the backend will be implemented in Java Spring Boot, the database will be built in PostgreSQL. The final version of the application will be deployed on Heroku.

The Chinese Learning Platform(CPL) is a program to help students to learn the Chinese language. This platform will be used by both students of these ages attempting to learn Chinese as well as by the teachers who will use the platform as a teaching tool to help those students. As it is a teaching tool, the main motivation behind it is educational, with the hope to support students in learning the Chinese language, and in the future, this will be expanded to learning various other languages using the same CPL. The platform hopes to help these students utilize a textbook created by CPL, and will also include features that will help the students listen, read, write, and speak in the language they are learning.

The COVID-19 pandemic has made it difficult for families to stay connected, especially those separated by distance. Keepsake is a software product that was developed with the aim of helping families bridge the gap by enabling them to share stories and memories across generations. The platform provides a secure and private space where family members can record and post audio content that can be accessed by their loved ones anytime, anywhere via cloud storage.

Keepsake offers an intuitive user interface that is accessible to users of all ages, making it easy for them to navigate and listen to the audio content. By hosting the platform on Amazon Web Services (AWS), Keepsake provides a reliable and scalable solution for storing and retrieving audio files/posts across the years. The platform is designed to ensure that each family's audio files are separate and private from other family audio files, offering complete privacy to users.

To get started with Keepsake, users can easily join their families and start recording and uploading audio files. The platform allows for organization and sharing with specific family groups, making it easy to share stories and memories with those who matter most. Keepsake is a powerful tool for connecting families across generations, providing accessibility, convenience, and security for families of all sizes and backgrounds.

Our product seeks to provide a teacher-driven computer programming education platform that allows users total anonymity in communication and grading. The purpose of this software is to provide educators the ability to assign students both in class programming contests that are graded on a time-to-completion basis and to facilitate both guided and collaborative communication about programming and computer software. This product was initially designed to be used in university’s Intro to Programming classes where the professor recognized that students, especially females, were hesitant to participate due to a perceived lack of knowledge of the topic. In any situation, asking questions can be beneficial, and this platform will provide students the ability to ask their peers and professors questions without the fear of negative reflection on their knowledge or understanding. 
The Platform is built on a custom serverless architecture utilizing Amazon Web Services (AWS). The Platform hosts a publicly accessible web portal, API layers for integration and data manipulation, and database and object storage solutions for data management and storage. Our choice in using AWS gave us the ability to implement pre-built and managed security solutions for our project. The security of our users information is offloaded immediately to a managed AWS service to minimize potential penetrations.
During the course of the project, we enhanced our time management skills and learnt how to collaborate and communicate within a team. Ultimately the research project will be considered a success if the application promotes better communication and learning within the classroom.

Day traders typically spend most of their day looking at graphs to try to find specific patterns and changes in the market. The chance of making a rewarding investment could be gone while traders try to figure out whether the pattern is good or bad. This tedious and time-consuming job can be made easier and quicker. Our team members, David Greenwell, Alfredo Perez, Zhengwei Zhou, Ahn Nguyen, and Kyle Conte have been working hard to build an algorithm to find one of the best possible market patterns called the three-bar pattern. This three-bar pattern is a pattern one might see in the market, and it shows a turning point in the market. Our client Dr. Zhang, a day trader, was interested in a way to find this pattern in real-time, on a select few stocks. With the help of Dr. Ma, Dr. Wei, and Dr. Kadiyala, our sponsors, we have created the algorithm and are working on implementing a web application for it.

Toyota Financial Services (TFS), being part of a highly regulated industry needs to ensure that all risk management, governance process, and controls are in place to ensure compliance. This entails documenting all the business processes, definitions of their data elements, connecting the defined data elements to the physical attributes in their various applications and databases. Furthermore, they need to document the lineage of the data to ensure that it is flowing correctly through their ecosystem. In addition to these, they must ensure the data quality at the source and through the transformations, it goes through while flowing in their ecosystem.
The problem of the disjointed system to record, store, check and correct all the data in the ecosystem/ no holistic view of data is affecting the employers/ business partners of TFS, the impact of which is unorganized data, manual process of linking physical and business data elements which is time-consuming.
A solution that our team is working towards is to build a data portal where data will be organized by business areas such as Loan Originations, Insurance, Servicing, etc., and various classifications under those areas. We are also implementing a google-like search for any data element which would bring up business definitions, physical attributes, data quality rules, profiles, and any related data associated with it.

Toyota Financial Services (TFS) is the largest automotive lender in the nation with over $125B in total assets. TFS offers financing, leasing, protection plans, and other financial services to customers and dealers all across the United States. In order to serve their customers better, it was required to have a comprehensive view of the customer. The TFS Customer 360 team has worked with TFS to create a Customer 360 view by harnessing the power of graph databases, semantic queries, and graph visualization tools. This view represents all direct and indirect relationships that exist for a customer and will be made available to different stakeholders in the company to make more informed decisions and to better identify potential opportunities.

The Monnig comprises a scientific research collection (the Monnig Meteorite Collection) as well as a Museum (the so-called “Gallery”). The exhibit has an educational game and interactive video screens. While there have been some updates to the technology in the exhibits in the last twenty years, most of the Gallery remains unchanged since its opening in 2003.

The current design is not inclusive for visually impaired visitors. contents are not accessible for non-English speaking visitors, and only less than 5 % of the 3000 meteorite collections are displayed. We address these problems by developing a tour assistance application with sufficient accommodations for visually impaired visitors using Android tablets that will be provided by the MMG to its incoming visitors with a capability of being fine-tuned to the individual’s preference.

The application begins with three separate menus, each with its own screen, which allows the user to customize the app to their needs. Menu 1 allows them to select their language. The beta version includes English, Spanish, and French, but later versions could consist of more language options. Menu 2 provides a font size selection, and menu 3 allows users to identify their color blindness type. These variables can be reset or changed at any time. The Monnig Meteorite Collection database has images of all of the meteorites within the Gallery and the text from each exhibit will be reproduced within the application. The images will be shown on a high contrast background (as compared to the exhibits) to allow for better viewing of the samples. Voice transcription will also eventually be available. Wayfinding, the ability for the user to identify where they are within the Gallery, on the application will be achieved in one of two ways. QR codes will be placed on each display case, allowing users to scan and locate the relevant exhibit on the map when needed. In addition, Bluetooth receivers will be used so that the application can identify where in the Gallery the user is located.

Chinese Learning Platform is a part of STARTALK Program – a federal grant program funded by the National Security Agency. The mission of the program is to assist students in learning languages identified critical by STARTALK, including Chinese, Arabic, Hindi, Persian, Korean, Russian, and Turkish. Our project aims to support students in learning Chinese, and will be extended to other languages in a near future. The supports include, but are not limited to, assistance in vocabulary, listening, reading, writing, and speaking Chinese. In addition, our project contains well-designed functionalities dedicated to language learning, thus further improving the learning experience for students.

The TCU and UNTHSC School of Medicine requires its students to participate in service learning with various non-profit partner organizations in the community. Our team's goal is to make the volunteer sign-up process easier and more convenient for med students, to automate the tracking of students' hours, and to ease the burden on faculty in charge of managing the entire process. We aim to accomplish these goals with a web application that will streamline the volunteer scheduling and hour-tracking process for students and faculty.

The TCU Computer Science Department has launched an AlphaGo research project. Currently, it can only be used by those directly involved with the project, and only at certain computers on campus. In addition, the interface for conducting research is difficult to use. Our goal is to make this project more widely accessible to students and faculty alike, whether they wish to help in research, or simply want to learn to play Go. We have developed a web application for the project that allows users to play against various Go AI agents, as well as allowing researchers to train new AI. In addition, our site allows various admin functions to control and edit users and AI agents alike.

This is a brief report on a comprehensive assessment of AlphaZero-type algorithms from the viewpoint of optimal play. This study does not join an already crowded field in seeking to enhance the efficiency of these algorithms, but sets sights on more conceptual questions and more quantitatively precise results. In particular, we show that the AlphaZero-type algorithms tend to behave more conservatively when winning and more aggressively when losing. We illustrate our results with a specific example on the 7x7 board.

A common way to evaluate the performance of players in two-player games is to have them play against other players. If the player wins more games than other players, then it is said to be more capable; in other words, the strength of a player is measured relatively. In this project, we seek a way to evaluate the performance of players in terms of absolute. In recent years, self-play reinforcement learning has given rise to capable game-playing agents in a number of complex domains such as Go and Chess. We perform an analysis of a self-play agent using scaled-down versions of Go on a generic platform to measure the strength of the agent via our developed methods.

Homeopathy is a holistic natural system of medicine and helps patients recover from all types of illnesses naturally, while strengthening their immune system and increasing their energy and vitality. The Hygieia Homeopathy Clinic provides basic knowledge of homeopathy to their patients. Patients use their time-tested methods to trust in their own body’s recovery functionality. The main problem of the website is their patient’s inability to search the website for knowledge and protocols about homeopathy. Other problems with the website include the ability of patients to view and make appointments, purchase vitamins and supplements, and payment information. The Smart Homeopathy Doctor App Senior Design 2021 Team’s goal is to provide their clients a fully functional mobile app for easier content viewing, appointment making, shop, and patient messaging. Furthermore, the website needs to facilitate easy communication between the doctor and patients. The Smart Homeopathy Doctor App is a mobile application. Its primary function is to allow users to query a server-hosted database. The content of the database includes publicly available, non-sensitive data such as FAQs pertaining to homeopathy. The administrator performs database CRUD operations. Over the course of the project, our team has refined our time management skills and honed our Peer Review skills. We communication better by not only updating others on our progress but also asking members for help. We also learned Ionic Framework with Angular for our front-end user experience and learned to store our database in Firebase.

Our goal is to create a user friendly dashboard with data related to the current COVID-19 pandemic. This includes an interactive map, charts, and numbers presented to the user in a simplified manner. The data spans every county in the United States. Beyond just being a COVID-19 Tracker, our tool will be available as an API that can be used with any other state and county specific data.

Identifying new and cutting-edge investment strategies is a crucial step in establishing any large business within its relative industry. Fort Capital, whose primary investment focus is on industrial-grade buildings, is taking an innovative and insightful approach to geographic understanding. Fort Capital aims to identify trade routes used by major market players, such as Amazon and Walmart, to find the areas where industrial warehouses and large-scale distribution centers are in highest demand. To locate such trade routes, identifying the main travelers on these routes is essential, and Truck Detective aims to do exactly that. Using machine learning and artificial intelligence models such as a deep neural network, Truck Detective enables Fort Capital to detect, with high accuracy, the location of big rig trucks, and can additionally help identify where they came from or where they are heading. This, in turn, illuminates geographically important areas with promising investment opportunities for Fort Capital.

Vehicle Re-identification, which aims to retrieve matching vehicles across different cameras, is a challenging problem in Intelligent Transport System due to different factors such as illumination conditions, occlusions, and video resolution. Numerous studies are proposing the use of Deep Neural Networks, a recent advance in Artificial Intelligence, thanks to their exceptional feature embedding extraction. However, Deep Neural Networks perform poorly on cross-domain settings. Furthermore, vehicle re-identification training data is relatively limited because public videos are only accessible to the authority only. Our study tackles the above challenges by utilizing several state-of-the-art techniques on domain learning to expand the model's generalization capability. Our research shows that we can outperform other state-of-the-art models by large margins on popular vehicle re-identification benchmarks.

Sir Stanley’s Well Rounded Adventure is a mobile game that is meant to help educate children ages 7-11 about living a healthy lifestyle. Childhood obesity is on the rise, and while we cannot control the lifestyle choices others make, we can help bring education to the younger masses through a medium that they can enjoy: video games. Sir Stanley’s Well Rounded Adventure will help children learn valuable lessons about nutrition and physical activity through a series of unique mini-games, in-game tutorials, and in-game achievements. Our goal is to make this information that has been provided to us by TCU’s nutrition department both accessible and easy to understand for the younger generation.

Hearing aids are costly, inconvenient, unappealing, and unfortunately are currently one of the only devices on the market for the hearing impaired. This explains why less than 30% of American adults with hearing impairment actually use hearing aids and in underdeveloped countries it is as low as 10%. With the abundance and accessibility of smartphones, an app that could substitute as a hearing aid could help people all over the world.

Due to technological advancement, smartphones have become powerful digital processing machines and are improved and refined constantly. It is the capability of processing sounds and playing the altered signal to the user that allows a smartphone to be used as a hearing aid. The teams before me have made an iOS app that can listen to the surrounding area and amplify sound in certain frequencies according to the user’s prescription.

This year our top priority is to pass Apple's latest requirements to put the iOS app on the App Store and add functionalities that allow it interact with the Apple Watch 4. We will then add more capabilities like developing a method to shift certain sounds from frequencies the patient cannot hear, as well to frequencies they can hear. Another new functionality would be for the app to have situational awareness so it plays the correct sound depending on the outside environment. In order to best achieve these goals, we will need some new technologies to meet Apple’s requirements and improve the performance of the app.

A website that for scheduling and managing Superfrog appearances. Customers can go to our website and request Superfrog for their event. The website automates the request process and makes it easier for employees to sign up for events. The automated process makes it easier for the admin to validate a request and accept or reject the request accordingly. The goal is to improve and enhance the experience for the customer, Superfrog employees, and the TCU spirit program.

Our problem is with the current state of online computer network and security educational materials. We are greatly influenced by the success of Seed Labs at Syracuse which does an excellent job of providing instructional materials. We have expanded on their site by creating more of an educational portal as opposed to a central site for instructional materials. Our online educational program allows both students and educational professionals to source instructional materials as well as receive support directly from the labs authors.

In March 2016, AlphaGo, an AI program by Google DeepMind, defeated the Go world champion Lee Sedol 4-1 in a five-game match, shocking the world. After March 2017 when AlphaGo again defeated the world champion, AlphaGo was improved to a newer version called AlphaZero, a stronger AI program that self-trained, with no prior knowledge, after being told only the rules of the game. From then, the strength of AI kept climbing at an astonishing rate.
Gian-Carlo Pascutto, a computer programmer who works at the Mozilla Corporation, had a track record of building competitive game engines, first in chess, then in Go. After following the latest research, he combined the Monte Carlo Tree Search and a neural network into building the world’s most successful open-source Go engines – first Leela, then LeelaZero – which mirrored the advances made by DeepMind.
Based on the open-source engines, we plan to take an alternative path of utilizing LeelaZero: finding the optimal results/playouts on different board sizes from 3x3 up to 9x9. Because of symmetry, there is a difference between an even and odd n x n board size. Therefore, we treat them separately on the following outline of the project:
- Modify the code of LeelaZero to allow all odd dimensions and obtain the results of optimal play for odd n up to 9.
- Modify the code of LeelaZero to allow all even dimensions and obtain the results of optimal plays for even n up to 8.