COURSE CRUSHER >:3C

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  Image of website displaying ai generated text and course information

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  Syllabus upload section

Inspiration

We hope to provide students within the Claremont Colleges a more qualitative metric for selecting their professors by giving them access to a course syllabus and direct links to additional information like a professor’s research or industry work.

Functionality + How we built it

We used Node.js and React libraries alongside CSS and HTML to build the webpage interface so the user can easily navigate different syllabuses corresponding to different courses and professors. We also implemented Google generative AI to provide a useful summary of some syllabuses for the sample course materials we wrote.

Challenges

Most of our team did not have prior web development experience, so this was also a learning experience on top of everything. We were unfamiliar with many steps of the process, like incorporating AI into a JS project, so that was also something we’re proud of accomplishing!

Ethics

Students often utilize platforms like Rate My Professor, which while convenient and popular, is not always a fair system for evaluating professors. Reviewers often leave unfriendly and subjective comments that reflect gender and racial biases. By providing a more empirical method for assisting course registration, we aspire to benefit students by allowing them a chance to make registration decisions based on their own rationale and professors by giving them a more equitable and accrediting evaluative platform. With our project, we hope to provide students within the Claremont Colleges, and potentially students outside the colleges, a more qualitative metric for selecting their professors. We hope that our platform fosters trust in college education by promoting nondiscriminatory practices in education and supporting students with different learning approaches.

Built With

• css
• gemini
• javascript
• react