How much money do you spend on the hiring process to find the best collaborators? With our project, we want to decrease tension among coworkers and reduce employee turnover caused by ineffective collaboration in the workplace. We have designed an employee match application that allows users to obtain recommended collaboration partners through our matching algorithm – all these processes, such as machine learning powered by AWS.
SafetyMining was founded by five team members with one thought in mind; to make driving safer and more efficient. This is how the idea of creating the Driving Analytic Software was born. The idea is that it would collect the driving data and use an algorithm to calculate facts, such as risks and efficiencies, of vehicles and their drivers. During a target analysis, a need for the application was found within small delivery businesses that have fleets consisting of twenty to eighty of medium to large size delivery vehicles. These small businesses would benefit from implementing a driving analysis program, but they not able to afford a team of scientist, like UPS have, to analyze their driving data records. Thus, DAS is an affordable option that would allow them to obtain vehicles and drivers report through it. Thus, Datamining saw the need for an affordable system to collect data, analyze it and optimize it for these companies. Without a reliable system in place, companies would have to rely on employees’ best efforts to gather information that runs the risk of being inaccurate or incomplete to make company decisions.Young Adam General Business Open-minded, Creative Indifference Frontend Analyst
Adam Young: Frontend Analyst
Camille Sazon: Implementation Analyst
Patricia Santiago: Project Analyst
David Chun: Business Analyst
Gabriella De Guzman: Backend Analyst
The project our group decided to pursue is the development of an app that allows users to see the live waiting times at their favorite businesses. Most consumers have time constraints and cannot afford to spend time in long lines. Many businesses have turned to mobile ordering to help alleviate this problem, but lines still persist. This app is intended to provide consumers with the most accurate real-time information on business traffic in order to make better everyday decisions. This app will use mobile user based location services to track individuals who enter a business or
Our team is building a confidential application, HereForYou, that will be used to connect patients in search of mental health assistance with providers they can have a connection with and who have an expertise in the specific assistance the patient is seeking. We decided to create this application due to the increase in mental health awareness in our nation and to decrease the stigma associated with seeking assistance. When patients and providers create a profile with our application they will be prompted to fill out a questionnaire which our Artificial Intelligence (AI) system will then use to match them based on the response given. Our vision is to make accurate matches between patients and providers, this will allow the patient to feel more comfortable with fully expressing themselves and to seek appropriate care based on their needs.
Because of the increased concern regarding the school safety, especially the awareness of gun control, meanwhile the scare of the influenza epidemic, We, as a team, create this project’s blueprint which intends to implement a system to monitor the daily lives of students, to increase the overall quality of student’s school experiences, improve school safety. Identify and alert potential problem from the very beginning, to prevent the worst scenario from happening. Our project focuses on the unified high school and university regarding the raised awareness of safety. Our project includes logical structures for the AI system which is built and organized by our team members, the physical requirements, as well as accommodation database which builds the connection between students, families, outside entities in emergency situations. Our solution will be set up to the certain amount of cameras to monitor students and get daily basic information and images analyzed and process for the protection of potential dangers activities from happening. And in case of suspicious activities detected, our system will generate alerts through messages, alarms, to school officials, student/ families and other entities regarding the unpredictable events, and manage and minimize the dangerous situation, through lockdown the system by lockdown certain gate, through voice guidance to prevent the danger from further developing. “Early detection, early prevention, early assistance” is our main goal. By implementing this system, schools can provide a much safer place for overall physical and mental well-being of high school to university students. School prioritize the needs of their students, families, and society, evaluate and detect safety threats make immediate alert and assist direct action regarding suspicious activities.
Our semester project is working on a way to decrease the response times of Emergency and City services throughout San Diego County. Currently, on average, it takes 15 minutes for a response unit to arrive at the scene of an incident. We feel that by removing the need for people to describe the scene, give a location, and then have a dispatcher translate that all to the proper authority, we can decrease these response times by utilizing the cameras on most people’s phones. By sending a video or picture with GPS data to an AI system that will then analyze the incident and send it over to the proper service, we can remove the longest time component of most response times which is the end user. We would also be able to optimize the resources that are sent to respond to an incident thereby saving the county money. Additionally, the videos and pictures would be accessible as evidence in court proceedings where the eye witness may not be comfortable testifying or may have difficulty in recalling the incident itself.
Our project is to promote a healthy lifestyle and sustainable living habits for users of all demographics through our mobile application. Our mobile application will allow users to create recipes that provide a list of healthy ingredients/products to choose from. More specifically, the user will create a shopping profile by entering in specific information about themselves, such as what store they typically shop at, brand preferences, allergies, and relevant health conditions like high blood pressure. When the user is ready to shop, they simply launch the application, select their store location and enter in the desired meals they would like to make. Our algorithm will match up their inputs and generate a list of healthy, best-selling ingredients for those recipes. The algorithm will account for their allergies and health conditions to make appropriate suggestions by filtering out foods that could negatively impact them. In addition, we will partner with grocery stores so they can provide us a weekly inventory list. This way, if an item is out of stock, we are able to generate a second option for the customer. We are creating this system because of the rising health concerns in the United States. The application will improve the consumer’s process of buying groceries by being unique in its ability to recommend a list of food products that provide nutritional value based on the consumers’ tastes, health history and goals.
Around 33,778 students attend San Diego State University (SDSU), in addition to over thousands of faculty members, all of who have a need for increased safety on campus and in parking lots. There aren’t substantial security cameras, or enough police officers to effectively monitor the parking lots for suspicious incidents such as
Homelessness is a major issue in San Diego. The results of the last WeAllCount annual census of homeless persons concluded that homelessness increased by 5% and that San Diego had the 4th largest homeless population in the United States. Currently, the Regional Task Force (RTFH) on the Homeless utilizes SharePoint, a Homeless Management Information System (HMIS). After several discussions with RTFH and the San Diego Housing Commission (SDHC), it is apparent that there is a critical communication deficiency that results in degraded coordination between these agencies and others whose sole purpose is to help homeless and low-income citizens obtain essential services. Our project aims to utilize a low-cost, cloud-based AI solution to solve these issues.
Create a feature that will help customers find the right section in the IKEA store more efficiently. First, we will map out the IKEA store to a given number of areas and/or sections. After we map out the IKEA San Diego store and select an indoor positioning system, this will allow us to locate customers inside the store. We suggest using Wi-Fi Access Points and ask customers to connect to IKEA Wi-Fi if they want directions to their desired section or area. For better indoor location system, we will also add Bluetooth technology to get better location accuracy. It is also a possibility to use the built-in smartphone compass to compute instantaneous customer heading/direction for better instructions to get the customer to the right area. Our IKEA GUIDE will also give customers recommendations when they are routed to pick up their products. This will benefit IKEA sales and make the employees’ job task a little easier. The new IKEA navigation feature will be integrated into the IKEA application; furthermore, we can provide a feature through the IKEA application to launch it.
The scope of our project is to improve the effectiveness and efficiency of the Marketing Department of one of our favorite craft beer brands, Lagunitas Brewing. We aim to develop the schematics of a mobile application that can link itself to multiple mobile applications that the user already possesses such as location services, social media applications, and personal shopping applications in which the user predominantly visits. This link will allow Lagunitas Brewing’s Marketing Department the ability to monitor a significant concept in product marketing which is consumer behavior. Through augmented intelligence, our mobile application will produce the ability to monitor the bars, nightclubs, and restaurants that a user may frequently visit. As it performs this task, the mobile application will simultaneously monitor trends in the user’s purchasing habits and what stores they choose to visit most often. With this collected data, the task of creating product promotions in locations that will produce a maximum success output will become crucially more effective than the methods utilized in the past. The ultimate goal of this mobile application is to assist the Lagunitas Brewing Marketing Department in minimizing costs and maximizing profits for the company, while also establishing a constant brand awareness each and every time an individual using the application from their target market operates their mobile device.
The project we are currently working on is addressing the social issue of education. Our main purpose is to address the problem of lack of access to tutoring at the university campus. We wanted to create a mobile app that is very similar to the operation of Uber where you get matched with a tutor that fits your academic needs instantly. Students who need tutor(s) depending on their concerns (e.g. want to get a good score for an exam, want to improve the overall grade, etc) will get matched with a prospective tutor who matches the student’s need. The tutor will be differentiated depending on their background and experiences. Our app, Pupil aims to help students who need help with their academics from basic 100 level classes to grad classes. The students will have a lot of options of choosing tutor(s) based on their academic goal(s). Our theme AI plays a crucial role as it has to match the tutors with the student’s needs regarding what subject students would like to be tutored on.
Our group’s innovation focuses on using Artificial Intelligence to create a streamlined process for easier navigation around campus. We are creating a system that compiles previously established information – such as class schedules, event schedules, map data including traffic and rush hour patterns along with GPS coordination – into a single database. From that database, our system will be able to create an estimated parking projection for the user, based on their specific needs. Our project aims at creating a hassle-free way for students and/or faculty to plan their daily commute to classes and what parking locations would be ideal for them to utilize.
We are creating a competing system with marijuana management companies like Weedmaps. Currently, when you first arrive at a dispensary, you need to wait about five to ten minutes to get registered. Our goal is to create a new system platform allowing customers to create a personal profile on a phone application. Once a profile is created this application will allow users to upload/verify their state ID and medical card which would aid in cutting down dispensary registration time. Our application will allow customers to schedule appointments with dispensaries/doctors and also give the option to pre-pick items which will calculate the overall total including tax. The industry being targeted is the marijuana sector, focusing on those who have medical cards. Our system would provide listing services for medical marijuana dispensaries, doctors’ offices, and delivery services throughout the United States. Our main goal is focusing on a customer based application as well as making it easier for people to find dispensaries nearby. By implementing these steps we hope to reduce the overall wait time and overhead cost associated with shopping at dispensaries. The idea behind this is to make going to dispensaries an easy and carefree process.