Inspiration

Scam emails are a massive issue that affects millions of people worldwide, a web extension that would help people identify scams would be incredibly useful.

What it does

It appears as a box where you're able to select highlighted text for it to scan. It will then display to you whether or not something is (most likely) a scam and if it is a scam, provide the reasoning for it.

How we built it

We built this project in Rust, where we made use of the Jev AI API, and various OpenAI compatible APIs all over OpenRouter. The text would be fed into Jev to verify whether it is a scam, then fed into multiple decision models to create a human readable output which also aggregate the result. We also used Dioxus for the front-end

Challenges we ran into

We suffered communication issues that impacted our progress early on.

Accomplishments that we're proud of

We adapted Telluvian's advice and ideas to expand it to include AI models acting in parallel

What we learned

We learned how to use AI APIs via OpenRouter in Rust and elements of front-end development and deployment

What's next for Scamvoidance

Heightened multimodality: Voice-to-text, images and advanced auto-detection features.

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