Inspiration
When I was in 6th grade, I was an innocent boy who just had his first gmail account created! I used this gmail for various platforms to create accounts. However, on one spiteful day I was struck by an email with the subject of getting 1000 robux. As an innocent boy that I am, I figured that you know free robux, that sounds nice. I clicked on that link and I unfortunately got my login details for my roblox account stolen… Ever since that day I was traumatized, and I wanted to get back my revenge on that hacker. Now I have decided to create a phishing detector for this project to prevent children from getting their roblox accounts hacked!
What it does
The detector detects emails for possible “phishing” with a confidence level from 0-100%. It also gives signals indicating possible reasons on why the possibility is what it is. You can do this by either copy and pasting the email subject and body or by entering your email address as it scans your inbox for you.
How we built it
We used python to make the model and opus 4.8 to help us with designing it.
Challenges we ran into
Most of us didn't have much experience with machine learning so we had to take it upon ourselves to learn how about it.
Accomplishments that we're proud of
We built something that has real world application and can be useful for people.
What we learned
We learned how a machine learning model works and train it with a publicly availabe databases.
What's next for PhishGuard
Make it a 6 figure b2b saas scalable business.
Built With
- python
- vscode
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