INNOVATION DAY 2021 | computer science & engineering

Capstone instructors

Dave Feil-Seifer
Dave Feil-Seifer
Devrin Lee
Devrin Lee

The 2021 Senior Capstone course in computer science and engineering was taught by Dave Feil-Seifer and Devrin Lee. To learn more about the computer science and engineering projects, please email Dave Feil-Seifer or email Devrin Lee .

About the department

Faculty in our department train aspiring computing professionals to use technology to solve important societal problems. Our alumni work at top companies like Apple, Google, Facebook, Amazon, Microsoft. Visit the Department of Computer Science & Engineering

Explore the projects

  • CSE-01 (Pill Buddy)

    Team: Phi Nguyen, James Toste, Miles McDonald, Eric Grant-Ow

    External Advisor: Janna Toste — Nurse at UCSF Benioff Children's Hospital in the ICN

    The Pill Buddy application is a reminder and confirmation application for those who need help to remember to take medications and have remote caregivers. The goal of Pill Buddy is to improve the trust relationship between caregivers and patients so that the best possible care can be given in a remote environment. This application will allow a caregiver user to link with other individuals so that they can send reminders and confirm that the patient has taken their medication through the app. Pill Buddy's main features are the buddy system, the notification confirmation feature, and the synced calendar system. The goal of Pill Buddy is to improve the trust relationship between caregivers and patients so that the best possible care can be given in a remote environment.

    CSE-01 Lighting Talk

  • CSE-02 (Bettering Emergency Evacuation)

    Team: Chris Diewtragulchai, Curtis Chung, Sam Roberson, Stone Sha

    External Advisor: Chris Ginac

    Bettering Emergency Evacuations (BEE) is a free mobile application that is designed to assist evacuees and move them into safe locations while warning them of hazards during emergency situations. It is also intended not only to save lives directly but to assist emergency workers during emergency situations. We implemented a web server to hold all information, a web application as the main base for communication between the web server and mobile application, and a mobile application that serves as the main component of the project.

    CSE-02 Lighting Talk

  • CSE-03 (A System for Portable Concussion Diagnosis)

    Team: Ryan Gorman, Timothy Finnegan, Isak Ohman

    External Advisors:

    Professor Alireza Tavakkoli — University of Nevada, Reno Computer Science & Engineering Department

    Professor Nicholas Murray — University of Nevada, Reno School of Community Health Sciences

    A System for Portable Concussion Diagnosis is a virtual reality application to assist the usage of field concussion testing. To accomplish this, the Vestibular Ocular/Motor Screening (VOMS) test runs in a virtual environment while querying the patient as to their change in symptoms. Alongside this, the project is built to gather eye-tracking data. An operator controls the testing through a desktop user interface. There, the operator can begin tests, repeat certain tests, visualize data as it comes through, and calculate diagnoses using the VOMS criteria.

    The eye-tracking data itself is gathered to enable concussion research in both the fields of health science and computer science. For health science researchers, data can be exported in both CSV and PDF file formats. The CSV contains the raw data for statistical analysis and usage in other programs. The PDF contains graphs and various analyses of the data for ease of investigation into the data. For computer science researchers, the data is intended to be used to train machine-learning models to investigate the possibility of automated concussion diagnosis and relationships between concussions and ocular phenomenon.

    CSE-03 Lighting Talk

  • CSE-04 (Love | Hate)

    Team: Scott Jordan, Nathan Lee, Lance Allred II, Danielle Gould

    External Advisors: Michael Ekedahl (University of Nevada, Reno: Professor of Information Systems), Max Thom (Senior Software Engineer), David Stagnitta (Personal Trainer)

    Love | Hate is a high intensity interval training (HIIT) workout application that will provide the user with a convenient and easy-to-use tool for generating custom or random workouts that they can then save and use at a later time. The user will be able to view their workout statistics after immersing themselves in a HIIT workout that is customizable at multiple levels, including: equipment, targeted muscle groups, and workout duration. The Love | Hate application has zero to no overhead for the user and is designed to accommodate all fitness levels.

    CSE-04 Lighting Talk

  • CSE-05 (Auto Tourney)

    Team: Benjamin Nordin, Jezra Frazee, Dean Dussaq, Matt Pritzkow 

    External Advisor: Erin Keith — University of Nevada, Reno Computer Science & Engineering Lecturer

    The growing popularity of competitive eSports has created a large market for software to support the trend. Many public eSports tournaments require hands-on effort including manual score entering and validation before a winner can be announced. Auto Tourney automates this process by providing a clean, easy-to-use web app that will cut down the amount of time hosts need to spend on the setup and scoring of tournaments. Additionally, players are always able to be up-to-date on how well they are competing so they can determine the quickest path to victory. Our product includes an easy setup workflow, quick join process, live leaderboards, and automatic score and placement calculation. Auto Tourney is made possible because of video game manufacturers creating APIs that allow developers like us to programmatically retrieve data in real time. Are you tired of watching professional gamers compete for multi-million dollar prizes while you sit on the sideline? Stop playing the fan and start playing the game. Play Auto Tourney.

    CSE-05 Lighting Talk

  • CSE-06 (Identifying Distinctive Features for Explainable Face Verification)

    Team: Jeron Whitehead, Jazel Suguitan, Joshua Plateros, Taylor Boyd 

    External Advisor: Dr. Emily Hand

    Computer Science Team 6 is helping Dr. Emily Hand and the Computer Vision Lab with improving facial recognition technology. Currently, computers cannot recognize faces as fast or as accurately as people can. Dr. Hand and her graduate student have developed software that utilizes machine learning to recognize faces. Team 6 has developed a user interface to allow easy use of the facial recognition software. The user interface allows the user to easily run the software using either previously taken pictures or by taking pictures using a web camera. The user can save the returned list of distinctive features and/or save the image taken by the web camera.

    CSE-06 Lighting Talk

  • CSE-07 (StartUpNV Investor Database)

    Team: Gabriel Bermeo, Ash Cudiamat, Kelly Tay

    External Advisors:

    Jeff Sailing — StartUpNV
    Bill Slikkerveer — StartUpNV
    Martin Guttmann — technical advisor assisting StartUpNV

    Nevadan startups can find the acquisition of investment funds a difficult endeavor. Here, our sponsor StartUpNV comes in by matching angel investors with startups in need. However, StartUpNV required a better way to manage and access the investor information they collected than their current, non-standardized excel sheets. Our project is a solution to this problem, with a web application paired to a mongoDB database. The database will store investor data, and current excel sheets can also be read in if desired. This information can then be easily accessed through a web interface where each user will have specific login credentials. Users can then add, update, delete, etc. their own entry, and visual reporting of the stored data is planned.

    CSE-07 Lighting Talk

  • CSE-08 (Trailmix)

    Team: Sarah Cooper, Marc Ace Montesa, Leo Galang, Matthew Deagan

    External Advisors: Jay Thom, Nathan Thom, Maxwell Thom

    Trailmix is a Google Chrome browser extension that obfuscates data in an effort to confuse advertisement algorithms. The extension works by combining the user's search history with other users' histories to create a profile of random topics that the extension will search in the background. This will obscure the browsing habits done by the active client. Conversely, the extension will also deter users from selecting relevant ads, making unnecessary purchases, and reduce the risk of malicious advertising. Trailmix is free to download on Mac, Windows, and Linux.

    CSE-08 Lighting Talk

  • CSE-09 (MusicAI)

    Team: Alden Bauman, Fahim Billah, Mir Hossain, Deev Patel, Ian Rinehart

    External Advisor: Dr. Emily Hand — University of Nevada, Reno

    MusicAI is a music generation program that trains a model based on user uploaded songs. The goal of our project is to make music creation easier and more accessible, both for enthusiasts and average listeners. After the songs are uploaded, they are split by instrument then parsed for notes and timing; using this information, the machine learning model is trained. The training is done remotely through our website to streamline the process. Once the training is complete, the user can generate, edit, and save songs. Songs are tested against the user uploaded songs to ensure a consistent standard of uniqueness.

    CSE-09 Lighting Talk

  • CSE-10 (Data Collection to Advance the Use of VR Within the Veteran Administration Health System)

    Team: Christian Stoldal, Emily Godby, Sayra Ramirez, Christopher Ochiai-Belen

    External Advisors: Megan Rumzie and Lei Yang

    Team 10's project, VRRT, Virtual Reality Research Tool, is a tool that will be used by the VA to track the progress of veterans using VR therapy. The overall goal of the therapy is to show that VR is a useful method in reducing pain for veterans. The tool will be used not only by the nurses, who will manually enter data after the VR experience from the veterans, but will also be used by the patients, who can use a chat bot to create a more user-focused experience for the VA staff to collect information after-hours.

    CSE-10 Lighting Talk

  • CSE-11 (Multisensor Calibration and Visualization)

    Team: Eric Duong, Nathaniel Rose, Taiga Miyano, Ruilin Lin

    External Advisors: Dr. Richard Kelley, Gaetano Evangelista - Nevada Center for Applied Research

    Extrinsic calibration of multiple sensors allows for robust localization and mapping necessary for intelligent mobile devices and robotics. Sensors are frequently calibrated to adjust for various environmental conditions. Current calibration approaches require experts to manually tune the algorithm, which are inaccurate, time consuming, and not beginner-friendly. We aim to develop open-source Multisensor Calibration and Visualization (MCaV) software that automates extrinsic calibration and quickly yields optimal parameters for each sensor pair on a rigid body device and robot through a directed graph without requiring user intervention, which improves ease of use, accessibility, and scalability. To demonstrate software functionalities and effectiveness, we perform extrinsic calibration on sensor data collected from an autonomous car at the Intelligent Mobility Initiative around the campus of the University of Nevada, Reno.  The software performs calibration on sensors' poses (i.e., translations and orientations) extracted from Robot Operating System (ROS) bag file and yields a transformation matrix relating the geometry between pairs of sensors. In the future, MCaV will visualize sensors' poses to verify the quality of input data and construct a virtual map of the environment from sensor data with the extrinsic calibration result computed with MCaV.

    CSE-11 Lighting Talk

  • CSE-12 (VS-TAP)

    Team: Daniel Hall, Jonathon Hewitt, Payton Knoch, Christopher Parks

    External Advisor: Dr. Fred Harris, Department of Computer Science and Engineering

    The Veteran Services Tracking and Analytics Program (VS-TAP) is a software that intends to track the visits within Veteran Services (VS) at the University of Nevada, Reno. VS staff can use the software to obtain detailed, visual reports about visits during specified date ranges. The software is important because it automates a major business function and allows the users to use the reports to obtain funding for VS. In the past, VS staff manually used different Excel documents that contained the visit data to generate their own reports. The major features to be implemented include uploading visit data into a database, querying data within a date range, and automatically receiving reports based on the settings specified by the user.

    CSE-12 Lighting Talk

  • CSE-13 (Robotic Docent)

    Team: Matthew Alighchi, Guillermo Del Valle, Kyle Respicio, Sherman Lee

    External Advisors:

    Casey Lynch, Department of Geography
    Tyler Brownlow-Calkin, Department of Art
    Vivian Zavataro, Lilley Museum

    Our project, Robotic Docent, aims to create a robot museum tour guide that enables museums to still have tours in light of social distancing. Our project consists of a web application that allows museum staff to configure a robot, and a robot that obtains information from the web application and uses it to give a tour.

    CSE-13 Lighting Talk

  • CSE-14 (Cancer Detection Using Deep Neural Networks)

    Team: Ethan Brown, Shawn Ray, Christian Greenman, Miguel Hernandez

    External Advisors:

    Dr. Mark Riddle — Associate Dean of Clinical Research, University of Nevada, Reno

    Dr. Tin Nguyen — Bioinformatics Lab, University of Nevada, Reno

    The purpose of our project is to provide doctors and other medical professionals with an automated breast cancer detection system. Users can login to the web interface, select an area of the body, upload an image of tissue they would like to test, and run the model on that image.  The model will then determine if the tissue is cancerous or non-cancerous and display a message including the diagnosis, current model accuracy, and relevant patient information.  This is not meant to replace doctors in the diagnosis process, but rather to aid doctors and speed up the diagnosis process.

    CSE-14 Lighting Talk

  • CSE-15 (Honeypot Attack Visualiser)

    Team: Chance Harrison, Simon Shrestha, Yash Shah, Tommy Gonzalez

    External Advisors:

    Jay Thom, Senior Information Security Engineer, University of Nevada, Reno

    Dr. Shamik Sengupta, Associate Professor; Ralph E. and Rose A. Hoeper Professor; Executive Director, Cybersecurity Center, University of Nevada, Reno

    The Honeypot Attack Visualizer is a web application that provides a rich interface for filtering and visualizing previous attacks on a set of honeypots. The visualizer is designed to utilize data from the Cybex-P project at the University of Nevada, Reno. Cybex-P allows security researchers to share details on cyber threats while preserving privacy, although it does not provide ways to analyze the data. The Honeypot Attack Visualizer seeks to fill that role. A map forms the foundation for the visualizer. Honeypot attacks are then presented on a GPU-accelerated map overlay that allows the attacks to be depicted in a variety of formats. The specific attacks that are included in the overlay and the format they are shown in are controlled through numerous options and filters. These options and filters aim to provide users with new perspectives on the same data and help create connections between different parts of the data.

    CSE-15 Lighting Talk

  • CSE-16 (Elemental Champions)

    Team: Daniil Fedunov, Daniel Angres, Brian Koh, Quinn Schoenfeld

    Our team project is creating a Rogue-like game. New games are important for people who play, as they represent novelty and opportunity. A new and interesting game is always enjoyed, especially by fans of its chosen genre. Major features that we intend to implement are a turn-based battle system, randomized levels, and enemies. The player will face these in search of adventure, achievement and exploration. Other components that we intend to design and implement include a menu system and a saving feature.

    CSE-16 Lighting Talk

  • CSE-17 (Web Application for Robotics Education)

    Team: Ryan Lunt, Sean Griffith, Zachery Wiles, Herman Hira

    External Advisors: Dr. Rui Wu — East Carolina University

    The project team is developing a web application named WARE, a full stack web application designed specifically for higher education robotics classes. WARE utilizes the OpenAI Gym framework, an existing open-source project, and provides a user interface to the framework’s robotics environments.

    The project is important as it allows users to develop and compile robotics code in an online environment. The client-server architecture gives users freedom from the time-consuming and process-intensive task of installing and running the framework on a local machine.

    WARE incorporates the following major features: front-end code editor with syntax highlighting, back-end code compilation, the ability to create user accounts for students and instructors, and the ability for instructors to create and manage classes that allow their students to experiment with OpenAI robotics environments and receive feedback.

    CSE-17 Lighting Talk

  • CSE-18 (ISA)

    Team: Aya Nakano, Amanda Lee, Carl Montemayor, Gage Shaw

    External Advisors:

    Drew Cortright — Intuit

    Jacob Leveroni — Intuit

    The Intuit Scheduling Application, or ISA, is a workplace scheduler fully integrated with QuickBooks and TSheets.  The app also allows employees to easily alter their schedules and swap shifts with minimal manager input, letting employees have more control over their schedule and saving businesses time and money.

    CSE-18 Lighting Talk

  • CSE-19 (Knock Alert)

    Team: Kevin Gundlach, Nicolas Jones, Alton Prentice, Ben Hull

    External Advisors:

    Wyatt Lindsey — Senior Software Engineer

    Lou Prado — CEO and Senior Electrical Engineer

    Knock Alert is a system that attaches to your door, and alerts users to door knocks. Whenever someone knocks on a user's door, that user will receive a notification on their computer screen that overlays all programs. Once a knock occurs, the desktop app displays a notification using the user's customizations (which could be a change in the font, sound, or color), and logs it.

    Knock Alert is a combination of hardware and a desktop application. The hardware links to the custom desktop application via Bluetooth. The device's hardware is composed of an accelerometer for detecting vibrations, a microcontroller that runs and manages the embedded device, and a Bluetooth low energy shield for transmitting Bluetooth low energy data to Knock Alert's desktop application. The hardware is designed to be as power efficient as possible. When the accelerometer detects a vibration, the hardware relays a signal to our Desktop app, built with Electron and React.

    The system's intended audience are users who like to work while wearing headphones and are prone to missing knocks, or those who are unable to hear knocks in general. It runs silently in the background (in the toolbar) as it waits for knocks to occur.

    CSE-19 Lighting Talk

  • CSE-20 (Not Just a Weather App)

    Team: Cole Atkinson, Chase Bosman, Dominic Ginter, James Young

    Not Just A Weather App is a mobile-responsive web-based application that revolutionizes a user's road trip experience. With numerous features, users gain the ability to personalize their road trip all while ensuring a safe and reliable route. These numerous features provided by the application will allow the user to safely and knowledgeably explore their route without worrying about a complicated, difficult-to-use user interface. These features include route weather statistics, personalized routes, saving your favorite routes and much more, all encompassed in a personal profile the user creates. We hope to revolutionize the map industry, paving the way for a more fun and immersive road trip experience.

    CSE-20 Lighting Talk

  • CSE-21 (Snow Pass)

    Team: Cardayell Morgan, Kyle Brainard, Eryl Kenner, Michael Martinelli, Garrett Moore

    External Advisor: Erin Keith — University of Nevada, Reno (CSE)

    Heavy snowfall, strong winds, and low temperatures are common during the winter in Northern Nevada. Knowledge of relevant road conditions is vital for safe travel for drivers taking trips through these regions. Most road information is scattered throughout multiple different sources. Snow Pass gathers this information into one easy-to-use app. The app lets people get directions from any place in Nevada or California with the fastest route. Then it provides weather forecasts, department of transportation alerts, and live video of roads along the route. People can use this to make informed and safe decisions about traveling, with the convenient user-friendly application Snow Pass.

    CSE-21 Lighting Talk

  • CSE-22 (Splittr: A Mobile Application for Bill Splitting)

    Team: Jonathan Lee, Michael Deng, Richard Wang, William Yu

    Splittr is an Android application that allows groups of people to easily divide up the cost shown on a printed bill or receipt and allow each member of the group to claim the parts that they will pay for. The application utilizes optical character recognition to identify individual items and their associated costs on a receipt image. Users responsible for a bill can select each item that they will choose to pay for and the application will total up the amount owed by each member and display them for users to see. The person responsible for the bill can then send notifications via text message for other people to pay him/her back.

    CSE-22 Lighting Talk

  • CSE-23 (STIM (Sale Tracking Inventory Management))

    Team: Jayam Sutariya, Harrison Hong, Nick Alvarez, Austin Nicholson

    External Advisors:

    Jacob Leveroni — Intuit

    Drew Cortright — Intuit

    STIM is a transaction-based inventory management system, aimed at improving efficiency and keeping accurate stock of items for all small businesses. This provides an important level of accountability and plays an important role in keeping the business on top of their assets. The program keeps track of the products sold and then depletes the items used to assemble the product respectively. When stock runs low, the user receives alerts about the low inventory. The program allows the user to order the stock automatically. Moreover, the program will search for the lowest price for an item on the internet and allow the user to restock the item. Users are also able to see metrics of sales and inventory over time to detect trends in frequency of sales and item depletion. Through all the mentioned functionalities, the user is able to run their business with increased effeciency. With seamless integration into a user's Intuit Quickbooks account, inventory counts are automatically updated between software using the Quickbooks API.

    CSE-23 Lighting Talk

  • CSE-24 (STACS)

    Team: Elizabeth Kish, Noah Doddridge, Bryan Dedeurwaerder, Andrew Wiltberger

    External Advisors: Sushil Louis, Hung (Jim) La

    The Simulation Training and Control Systems (STACS) is a simulation software initially developed by the Evolutionary Computing Systems Lab (ECSL) that allows users to operate steel bridge inspection robots produced by the Advanced Robotics and Automation (ARA) Laboratory at the University of Nevada, Reno. Learning to operate robots in a simulated environment is important because it will help users understand how to resolve special circumstances, prevent damage to expensive equipment, and extend autonomous robotics research and development. Our team is in the process of extending existing STACS software with three major features. The first feature is a sandbox/bridge creator mode which will let the user construct unique scenarios. The second feature is training mode which will give guidance to the operator. The last feature is a testing mode which will evaluate the operator's performance.

    CSE-24 Lighting Talk

  • CSE-25 (Authorship Verification for Plagiarism Detection)

    Team: Gage Christensen, Daniel Enriquez, Hayden Donovan, Noah Wong, Jared Lam

    External Advisor: Dr. Emily Hand — Machine Perception Laboratory, Computer Science and Engineering Department.

    AVPD is a web application to help instructors determine the authenticity of essays and other written material submitted to their class. Instructors can manage their students and assignments through a virtual classroom system, and new submissions are checked against that student's history to determine whether they actually belong to that student. Instructors can then see the scores for these new submissions and determine whether they want to accept that essay. To score an essay, we take simple heuristics about the essay along with syntactic patterns, and then use these to determine how likely an essay belongs to a set of previous essays. We deploy our application through a REST API written in the Django web framework, and a ReactJS web front-end.

    CSE-25 Lighting Talk

  • CSE-26 (Chaperone Robot)

    Team: Christopher Collum, Kevin Kurashewich, Stephen Leer, Omar Zerba

    External Advisors: 
    Emily Hand — professor
    Keith Lancaster — professor

    The Chaperone Robot is an autonomous Robot companion meant to provide an extra layer of security while walking alone on campus.  The Robot is accessed through a mobile application and will follow a user to their preferred location.  Through a vocal command such as "HELP" the Robot will then activate some security features in the case of an emergency,  like an alarm and a light, to get the attention of anyone nearby, such as campus dispatch.  If the user gives consent, audio and video recordings can also be saved for later access by the user themselves or by the police for review.

    CSE-26 Lighting Talk

  • CSE-27 (Electronic Patient Care Reporting System)

    Team: Mason Harlan, Kennedy Anukam, Yi Jiang, Alexander Moore

    External Advisor: Bryan Pond with the San Carlos Rescue Ambulance Service

    The Electronic Patient Care Reporting System is a web and mobile patient record tracking and entry system designed for use by the San Carlos Rescue ambulance service in Sonora Mexico. The project will have a significant positive impact on the rescue ambulance service since it is replacing their current method of handwritten records. The major features include a secure environment for logging patient records, accessing records with ease, running trend call analysis on the reports, and an intuitive design supporting English and Spanish. These features will help improve the user's workflow in order to increase the quality and speed of healthcare that the ambulance service can provide.

    CSE-27 Lighting Talk

  • CSE-28 (Anthroface)

    Team: Gabrielle Talavera, Henry Sturm, Kealia Perrine, Mari Trombley, Skylar Glock

    External Advisors: Dr. Fred Harris, Cortney Hulse

    Under the guidance of Dr. Fred Harris and working alongside Cortney Hulse and the UNR Anthropology department, our team is creating a Rib Fracture Data Collection and Analysis User Interface.  The purpose of this software, which we have named Anthroface, is to help transition trauma analysis from subjective interpretations to empirically founded interpretations.  To achieve this goal Anthroface will first allow users to easily input new rib fracture data in a convenient and intuitive interface, and allow for bulk upload of existing formatted data to a secure shared database. Anthroface will then help users with analysis by giving statistical analysis of the fracture data, creating a heat map indicating most common fracture locations, and give a recommender system based on the collected demographic data.

    CSE-28 Lighting Talk

  • CSE-29 (MyKar Service)

    Team: Drew Morri, Akram Reshad, Mark McCord

    External Advisor: Dawson Lamb

    founded by Dawson Lamb a fellow senior majoring in Business at UNR. Mykar focus on Vehicle Pick and delivery for Vehicle maintenance, inspections and repair. MyKar drivers drive your car to and from the automotive shop. This provide convenience for their customers.

    The iOS Application will provide MyKar the ability to reach a large audience. The app features user authentication, scheduling service, car tracking during process, communication for customers and shops, and payment processing. Our frontend will be code in Xcode with swiftUI. Our backend will be coded in Google Firebase. We are currently using Github as our Project management software. We believe MyKar will be a great success not just as business but as a way to streamline the automotive repair process.

    CSE-29 Lighting Talk

  • CSE-30 (Board Game Toolkit)

    Team: Alexander Novotny, Ryan Keeler, Tyler Stewart, Casey Lamb

    External Advisor: Adrian Lowery —Scientific Games

    A toolkit for designing and playtesting board games virtually. Allows designers to collect statistics about their playtest sessions and playtest remotely.

    CSE-30 Lighting Talk

  • CSE-31 (Crime Rate Mapping)

    Team: Befiker Beksisa, Steven Hernandez, WaKit Lam, Ivan Samuel

    Avoiding areas that may have a higher possibility of a crime is one of the many concerns a person has when going to a new place. While word of mouth of what areas to avoid or actions not to do can give one a peace of mind, it is really not the same when comparing it to having actual data that can help the person decide if it is safe to go or not. Hence, the goal is a web application that will give the users the chance to look at a certain city to check the type of crimes that happen within. The website will show the type of crimes, when it happened and where it happened on a map. Along with various other filters to help the user get a better picture of the crime. This is intended to help those who are planning to visit a new city they have never been before, people looking at an area's safety for a potential home, or even help the local emergency service. The website will use information from the local or metropolitan police station to get the most recent data and keep users informed with the latest reports.

    CSE-31 Lighting Talk

  • CSE-32 (Quantivity)

    Team: Robin Brossard, Melina Tan

    External Advisor: Dave Feil-Seifer

    People face common issues with falling behind on their journey to mastering a particular skill. The main goal of this project is to help the user stay on track with tasks that lead them to mastering a particular skill they wish. We humans sometimes need accountability so to have an application that keeps track of what we've been doing from a gamified perspective would be faster for us in terms of reflecting. Reflecting and writing about it introspectively seems like a lot of work so why not translate it to the number of tasks that the user completed on that day which will indicate the level of productivity they've achieved per task. The app will be written in javascript using the React.js framework. The backend will be an express.js server that will support a react.js frontend app. Melina will be responsible for the frontend development of the app using HTML and CSS on Visual Studio Code and CodePen.io. Robin will be responsible for the backend development and high level design.

    We will be uploading our code on github and For dependability properties, we're still determining the probabilities to make sure the system will be up and running to deliver good service to our user. We're unsure of the damage that the system may cause, we may possibly look into hosting it somewhere with great protection from malware and such for safety and security purposes.

    CSE-32 Lighting Talk