The latest articles on Forem by Magenizr (@magenizr). https://forem.com/magenizr https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3193495%2Fcad21880-dd87-4df3-b7a5-1bb1cbaf3571.webp https://forem.com/magenizr en Magenizr Thu, 29 May 2025 06:22:30 +0000 https://forem.com/magenizr/moody-meter-2pkh https://forem.com/magenizr/moody-meter-2pkh <p>This is a submission for the <a href="https://dev.to/challenges/postmark">Postmark Challenge: Inbox Innovators</a>.</p> <h2> What I Built </h2> <p>A "Moody Meter" that analyses incoming emails, primarily customer-support messages, to flag those with a moody tone and assign them to the appropriate teams. Any language is supported.</p> <h2> Demo </h2> <p><a href="http://35.247.218.173" rel="noopener noreferrer">http://35.247.218.173</a></p> <p>To trigger the webhook, send an email to <a href="mailto:18e2bb448d5960b8b91f09eed29c5fb0@inbound.postmarkapp.com">18e2bb448d5960b8b91f09eed29c5fb0@inbound.postmarkapp.com</a>.</p> <h2> Code Repository </h2> <p>We’ll publish it on GitHub shortly and share the link.</p> <h2> How I Built It </h2> <p>We are big fans of Laravel, paired with Tailwind CSS and Alpine.js on the frontend, so it was unquestionably the ideal framework for the Postmark Challenge.</p> <p>Leveraging the OpenAI API, we can parse email content and identify a “moody” tone. Here is a high-level overview of what we’ve implemented.</p> <ul> <li>Blade controller for the dashboard and detail views</li> <li>Automatic email assignment to the appropriate team</li> <li>Dropdown menu for manual team selection</li> <li>Attachment download links</li> <li>Postmark webhook API endpoint</li> <li>Masking of personal data (email addresses, physical addresses, and phone numbers) before sending to GPT-4.1-nano.</li> </ul> <h2> What is missing </h2> <ul> <li>SSL encryption</li> </ul> devchallenge postmarkchallenge webdev api