Inspiration

Being university students, we have had our fair share of scam emails and messages. Oftentimes, there will be messages that pose an unclear risk. We decided to build a tool that will help bridge that uncertainty.

What it does

The user can type suspicious text into the text box, and the Nemotron AI will scan, analyze, and detect whether the text is at high, low, or suspicious risk. We included a fallback: when Nemotron fails, Claude AI will analyze the text instead. ElevenLabs text-to-voice is also integrated to assess messages.

How we built it

We first outlined the structure of our project. We then designed the web UI on paper, and since we both have limited experience with web dev, we decided to vibecode the UI with Claude to build its functionality.

Challenges we ran into

We had issues connecting the API keys. For one, Nemotron often wouldn't work, so that is why we included a Claude API fallback.

Accomplishments that we're proud of

We were proud of learning more about the web development process and being able to connect to different AI models using the API keys.

What we learned

We learned a lot more about JavaScript and connecting our project with different AI models.

What's next for Scan No Scam

If we had time to learn, we thought it would be best to make our application and extension that can easily scan emails or text messages automatically for you.

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