As entrepreneurs, we understand the challenges and obstacles that come with growing a business, which is why we developed a revolutionary software platform to connect entrepreneurs with qualified life coaches. The purpose of Coach Connect is to empower entrepreneurs to achieve their maximum potential by providing access to premium coaches and cutting-edge resources in human excellence, including the latest advancements in neuroscience and psychology. This objective is accomplished by the development of an application to connect entrepreneurs with coaches, providing value through facilitation. Our platform is unique in leveraging a user database and weighting system to match constituents based on suitable preferences like individual learning and communication styles. Based on categorical filters, our platform perpetrates matches for a more personalized and productive coaching experience. The application addresses key challenges for both coaches and entrepreneurs: a lack of effective marketing resources for coaches and laborious tribulation in finding the right coach. By bridging this gap as the “connective tissue”, we will create a cost-effective, efficient way for coaches to scale their businesses while enhancing the personal and professional development of entrepreneurs. At our core, we are driven by a powerful mission–to unleash the immense potential of entrepreneurs. We are committed to providing every entrepreneur with the tools and resources he or she needs to succeed. As a vehicle of social change, we will make a meaningful impact in the entrepreneurial community where those with the greatest capability require the most decisive wisdom. Our two-ended target market consists of ambitious entrepreneurs aged 25-45 seeking personalized support to overcome obstacles alongside experienced life coaches seeking exposure to those clients for expanding their practices. Coaches will be charged a monthly subscription while entrepreneurs will pay a small fee for platform utilization. Coach Connect boasts a talented and diverse team of five individuals with backgrounds in coaching, NeuroLinguistic Programming, accounting, finance, entrepreneurship, customer service, software engineering, and personal development. Cross-functionality allows us to iterate per validations while algorithms are in development, reducing our time to market. Leveraging an extensive network in the startup industry, as well as resources and connections through Arizona State University, we are uniquely positioned to scale Coach Connect.

This thesis project focuses on the creation and assessment of the "Simple Stocks" app, a straightforward investment tool specifically developed for people who are new to investing and find it challenging to comprehend the complexities of the stock market. We identified a significant gap in the availability of easy-to-understand resources and information for beginner investors, which led us to design an app that provides clear and simple data, professional advice from financial analysts, and an advanced machine learning feature to predict stock trends. The "Simple Stocks" app also incorporates a voting feature, allowing users to see what other investors think about specific stocks. This functionality not only helps users make informed decisions but also encourages a sense of community, as users can learn from each other's experiences and opinions. By creating a supportive environment, the app promotes a more approachable and enjoyable experience for those who are new to investing. Following the successful release of the "Simple Stocks'' app on the App Store, our current objectives include expanding the user base and looking into various ways to generate income. One possible approach is to collaborate with other companies and establish an advertising-based revenue model, which would benefit both parties by attracting more users and increasing profits.

Not enough students are earning bachelor’s degrees in Computer Science, which is shocking as computing jobs are growing by the thousands (Zampa, 2016). These jobs have high-paying salaries and are not going to fade from the future any time soon, that is why the falling rates of computer science graduates are alarming. The working hypothesis on why so few college students major in computer science is that most think that it is too hard to learn (Wang, 2017). But I believe the real reason lies in that computer science is not an educational subject that is taught before university, which is too late for most students because by ages 12 to 13 (about seventh to eighth grade) they have decided that computer science concepts are “too difficult” for them to learn (Learning, 2022). Implementing a computer science-based education at an earlier age can possibly circumvent this seen development where students begin to lose confidence and doubt their abilities to learn computer science. This can be done easily by integrating computer science into academic subjects that are already taught in elementary schools such as science, math, and language arts as computer science uses logic, syntax, and other skills that are broadly applicable. Thus, I have created a introductory lesson plan for an elementary school class that incorporates learning how to code with robotics to promote learning computer science principles and destigmatize that it is “too hard” to learn in university.

Not enough students are earning bachelor’s degrees in Computer Science, which is shocking as computing jobs are growing by the thousands (Zampa, 2016). These jobs have high-paying salaries and are not going to fade from the future any time soon, that is why the falling rates of computer science graduates are alarming. The working hypothesis on why so few college students major in computer science is that most think that it is too hard to learn (Wang, 2017). But I believe the real reason lies in that computer science is not an educational subject that is taught before university, which is too late for most students because by ages 12 to 13 (about seventh to eighth grade) they have decided that computer science concepts are “too difficult” for them to learn (Learning, 2022). Implementing a computer science-based education at an earlier age can possibly circumvent this seen development where students begin to lose confidence and doubt their abilities to learn computer science. This can be done easily by integrating computer science into academic subjects that are already taught in elementary schools such as science, math, and language arts as computer science uses logic, syntax, and other skills that are broadly applicable. Thus, I have created a introductory lesson plan for an elementary school class that incorporates learning how to code with robotics to promote learning computer science principles and destigmatize that it is “too hard” to learn in university.

Not enough students are earning bachelor’s degrees in Computer Science, which is shocking as computing jobs are growing by the thousands (Zampa, 2016). These jobs have high-paying salaries and are not going to fade from the future any time soon, that is why the falling rates of computer science graduates are alarming. The working hypothesis on why so few college students major in computer science is that most think that it is too hard to learn (Wang, 2017). But I believe the real reason lies in that computer science is not an educational subject that is taught before university, which is too late for most students because by ages 12 to 13 (about seventh to eighth grade) they have decided that computer science concepts are “too difficult” for them to learn (Learning, 2022). Implementing a computer science-based education at an earlier age can possibly circumvent this seen development where students begin to lose confidence and doubt their abilities to learn computer science. This can be done easily by integrating computer science into academic subjects that are already taught in elementary schools such as science, math, and language arts as computer science uses logic, syntax, and other skills that are broadly applicable. Thus, I have created a introductory lesson plan for an elementary school class that incorporates learning how to code with robotics to promote learning computer science principles and destigmatize that it is “too hard” to learn in university.

A Skunkworks project is the name given to a small team of individuals leading an innovative undertaking, and conducting research and development outside of the normal scope of an organization. With this concept in mind, our team of six individuals was tasked with finding and conceptualizing innovative solutions within varying business markets of interest. Our team started off with five markets that we identified issues in and were passionate about solving. These included Sports Engagement, Education, Student Debt, Digital Literacy, and Viral Health. From extensive research, trial and error, and endless conversations we settled on creating business models in two final areas: Student Debt and Viral Health. Our research in Student Debt led us to the discovery that the average Arizona State student, takes out $21,237 in loans for their four year degree and in the whole state of Arizona, a student takes on an average of $22,253. Our solution to this problem was to create a student financial app that served as an efficient debt tracker that provided important information about finances, investing, and student loan information. Additionally, our team also wanted the address the issue of sexually transmitted diseases, just a small scope of Viral Health, within Arizona State University. Our research led us to discover that 50% of people report not getting tested, and from this population most reported it was due to anxiety and financial issues. From our research the StayInformed app was created to provide students with better accessibility to both at-home and clinic testing services, and updated education on sexual health. With this project model we hope to increase the rate of students testing and allow students more agency over their sexual health. Although these two services are addressing very different markets, they both utilize forward thinking technology to create much needed solutions and better the lives of students.