listerv check and reccomendation

convex/listserv.ts

@@ -0,0 +1,40 @@
+import React from "react";
+
+export default function App() {
+  //Example emails
+  const emails = [
+    "acsu-l@list.cornell.edu",
+    "cs-l@cornell.edu",
+    "startupclub@cornell.edu",
+    "friend@gmail.com"
+  ];
+  //Will need to be modified depending on our database schema
+  function detectListserv(emails) {
+    const results = [];
+
+    for (const email of emails) {
+      const username = email.split("@")[0];
+
+      if (username.includes("-l")) {
+        results.push("LISTSERV");
+      } else {
+        results.push("NOT LISTSERV");
+      }
+    }
+
+    return results;
+  }
+
+  const results = detectListserv(emails);
+
+  return (
+    <div>
+      <h2>Email Classification</h2>
+      {emails.map((email, index) => (
+        <p key={index}>
+          {email} → {results[index]}
+        </p>
+      ))}
+    </div>
+  );
+}

convex/reccomendation.ts

@@ -0,0 +1,74 @@
+import React from "react";
+
+export default function App() {
+//Example profile
+  const userProfile = {
+    major: "CS",
+    interests: ["AI", "Startups", "Robotics"],
+    tags: ["machine learning", "entrepreneurship"]
+  };
+  //Example events for different listservs.
+  const events = [
+    {
+      id: 1,
+      title: "Intro to AI Workshop",
+      majorTags: ["CS"],
+      interestTags: ["AI"],
+      descriptionTags: ["machine learning"]
+    },
+    {
+      id: 2,
+      title: "Finance Networking Night",
+      majorTags: ["Econ"],
+      interestTags: ["Finance"],
+      descriptionTags: ["investment banking"]
+    },
+    {
+      id: 3,
+      title: "Startup Hackathon",
+      majorTags: ["CS", "Business"],
+      interestTags: ["Startups"],
+      descriptionTags: ["entrepreneurship"]
+    }
+  ];
+
+  //Reccomendation algorithm will me fine tuned to match database schema decisions.
+  function recommendEvents(user, events) {
+    return events
+      .map(event => {
+        let score = 0;
+
+        if (event.majorTags.includes(user.major)) score += 3;
+
+        const interestMatches = event.interestTags.filter(tag =>
+          user.interests.includes(tag)
+        ).length;
+
+        const tagMatches = event.descriptionTags.filter(tag =>
+          user.tags.includes(tag)
+        ).length;
+
+        score += interestMatches * 2;
+        score += tagMatches * 2;
+
+        return { ...event, score };
+      })
+      .filter(event => event.score > 0)
+      .sort((a, b) => b.score - a.score);
+  }
+
+  const recommended = recommendEvents(userProfile, events);
+
+  return (
+    <div style={{ padding: "20px" }}>
+      <h2>Recommended Events</h2>
+
+      {recommended.map(event => (
+        <div key={event.id} style={{ marginBottom: "10px" }}>
+          <strong>{event.title}</strong>
+          <p>Score: {event.score}</p>
+        </div>
+      ))}
+    </div>
+  );
+}