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  This is a Style Guide for the App MyAdvisor

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  This is the wireframe for the list of courses screen

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  This is the wireframe for the favorites screen

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  This is the wireframe for the AI main screen

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  This is the wireframe for the list of course description screen

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  Final Prototype Main Screen

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  Final Prototype Entrance Screen

Project Story: MyAdvisor

Inspiration

The idea for MyAdvisor arose from the shared predicament of students in our community struggling to obtain an ideal class schedule. As students ourselves, we are keenly aware of the tendency for class rating systems to become biased and volatile as a result of students’ experiences; they may be disappointed by their grades and rate the class with such sentiment. Furthermore, we understand the confusion students may feel while searching for the courses that best align with their academic goals and career path. Motivated by this predicament, we began developing an alternative method that would empower students to find the courses that suit them best.

What it does

Utilizing cutting-edge AI algorithms, we envisioned the system MyAdvisor, which would revolutionize course selection by analyzing an institution’s available academic data, allowing students to be matched more objectively with personalized classes. The AI will ask a series of questions about the students' topics of interest, what type of class they are looking for, and what days and hours work for them. Then the AI will recommend a top recommended choice and alternatives. \The choices will be based on the answers that the individual provided. The AI will also calculate the average GPA of students who have taken this course and have the same major as the user. This will help the student judge whether they want to take this course by seeing how students with the same background as them have faired in this class.

Our system will be based on facts and statistics, mitigating the effects of bias in students’ opinions on classes. Due to the objectivity of our system, students will be empowered to judge whether they want to take a class or not and how much they can handle in a quarter.

How we built it

We developed our model using Figma. We used apps like Procreate to make our wireframes.

Challenges

The primary challenge we encountered while developing MyAdvisor was finding a strategy to implement our system across multiple institutional platforms while ensuring students’ personal identification data would remain private and protected. Due to the impracticality of fully integrating our application due to a wide variety of course selection systems across many different institutions, we decided to create a standalone application that would take in a university’s data while anonymizing any personally identifiable information.

Lessons Learned

Throughout the development process, we gained insight into the process of software development and project management, as well as the security risks involved in working with an institution’s data. With our final prototype complete, we would be eager to continue refining the model in future iterations of the project.

What's Next

We plan to implement MyAdvisor as an application that universities or other institutions may purchase for the benefit of their students. In the future, there are a multitude of improvements we would plan on for further iteration. MyAdvisor’s recommendations could include a balanced course load difficulty, as well as club or campus involvement options that occur on the days that the student will be on campus. The courses could be balanced with external data such as weather data for outdoor activities or electives. Through ongoing innovation, we would strive to provide students with the opportunity to excel at their academics while enjoying a well-balanced course load.

Built With

• canva
• figma