We set out to create an app that would be useful to a wide range of college students, from computer science to nursing majors
We planned to use Google’s Gemini to enhance the learning experiences of our users.
What it does
It assists students in learning across multiple disciplines, including language, code, math, medical diagnosis, and more.
How we built it
We built it using Google AI Studio and VSCode, individually developing apps and combining them all into one suite.
Challenges we ran into
We had to spend most of our first two hours learning how to use Gemini to help in the development process. Additionally, making specific changes to the program could be difficult sometimes.
Accomplishments that we're proud of
Built a fully working dashboard, complete with six different applications to assist in learning
What we learned
How to combine multiple different projects into one cohesive app
How to use Gemini to polish a minimum viable product into a user-friendly experience
How to host an app with Node.js
How to collaborate in the Gemini AI studio to improve productivity in a group setting
How to build apps with Gemini API
How to use and why to use router models
-Smaller models that decide what models to send messages to
How to locally run web apps with Gemini API
How to debug apps with the help of Gemini
How did it use Gemini?
Used Gemini API to generate all of the text and user interaction
Used Gemini API to generate the audio for the text to speech feature
Used Gemini 2.5 Flash, Gemini 2.5 Pro, Gemini 2.5 Flash lite, and Gemini TTS
Used Gemini AI studio to produce and work on the apps
What's next for Gemini AI Toolkit
Ideally, to improve the application, we would add more functionality to each of the apps on there currently and deploy it as a website that students can use to help them in their studies.
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