Inspiration
We were working on a project with the intent of analyzing messages through discord which is very commonly used among students, specifically student organizations.
What it does
Our project does a variety of things, it can scrape the discord for data and classify data in a meaningful manner - it can analyze message history to understand trends.
How we built it
The main components were javascript, openai api, discord api, and fetch for communication between devices.
Challenges we ran into
Learning a new programming language, trying to implement Firestore for data retrieval, and intra-device communications.
Accomplishments that we're proud of
Our video was fun to make, seeing all the data flesh out was cool, and seeing signals applied in a different way was also cool.
What we learned
We learned about intra-device communications via request-fetch-response protocols. We learned about using and establishing the discord api. We learned about using and establishing the openai api.
What's next for DinoDetect
We'd like to continue adding more features. We began working on some aspects such as implementing a database but couldn't under the time-restraints. We began working on using GPT to analyze text messages for monitoring not just cheating, but also toxicity. We also wanted to embed some of the visuals into discord but struggled to figure that out.
Built With
- discord
- javascript
- node.js
- openai

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