Inspiration

Our motivation stemmed from a desire to offer students a platform to effortlessly establish study groups tailored to their classes. This initiative was fueled by a commitment to enhancing collaborative learning experiences and fostering academic success.

What it does

Quick Meet allows users to effortlessly access autogenerated Google Meet rooms and personalized study guides tailored to their requirements, conveniently provided in PDF format. Additionally, users can browse through a dynamic list of recently active rooms, simplifying the process of joining ongoing study groups.

How we built it

We used Javascript/HTML/CSS for our front-end, and a Python/SQLite backend along with APIs for Google Meet and ChatGPT

Challenges we ran into

Navigating the Google Meet API was challenging due to unclear documentation, requiring extensive experimentation. We tackled issues like restricting meeting access to hosts and enabling users to create tokens. Additionally, passing information between Flask, HTML, and our database posed a challenge, demanding innovative solutions for seamless communication.

Accomplishments that we're proud of

We take pride in successfully integrating the Google Meet and OpenAI APIs into our webpage. Furthermore we are proud to have also strong database that can hold our information.

What we learned

Through this project, we gained valuable experience in working with databases and navigating the intricacies of the Google Meet and OpenAI API.

What's next for Quick Meet

Moving forward, Quick Meet aims to integrate features like tags to enhance study group organization. Additionally, we're exploring possibilities such as scheduling tools, resource sharing, and discussion forums to foster collaboration and engagement. Our ultimate goal is to evolve Quick Meet into a comprehensive platform that empowers students to learn collaboratively and efficiently.

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