# College Copilot: an AI that tells my friend what matters today > Source: > Published: 2026-10-04 12:29:53+00:00 *This is a submission for the [Hacktoberfest Weekend Challenge: Build for a Friend](https://dev.to/challenges/hacktoberfest-weekend-2026-10-01)* Ask any college student where their important updates live and the honest answer is: everywhere. WhatsApp groups, notice PDFs, screenshots of notice boards, assignment deadlines, internship forwards. I built **College Copilot** for my friend **Keerti**, a B.Tech student, so she doesn't have to dig through all of that. It reads her college chaos and answers one question: **"What matters for ME right now, and what should I do?"** Instead of just summarising notices, it matches them with her subjects, attendance and interests and tells her what to do: ⚠️ DBMS attendance is 72%, 75% is required. Attend the next 3 classes. What it does: Live app: [https://college-copilot-jdgv5fsevwfc4jbcgzmyrz.streamlit.app/](https://college-copilot-jdgv5fsevwfc4jbcgzmyrz.streamlit.app/) The live app is hosted and sends text to a cloud model, so I only use made-up sample chats and notices on it. Please don't enter real private data there. Reads scattered college info (WhatsApp exports, notice PDFs, screenshots), matches it to the student's subjects/attendance/interests and answers: **"What matters for ME right now and what should I do?"** `ollama pull qwen2.5:7b` (optional vision: `ollama pull qwen2.5vl:7b`)` pip install -r requirements.txt``streamlit run app.py`` sample_chat.txt` from the sidebar to test, then your friend's real chat. Private chats and attendance never leave the laptop, works with… `core.py` can talk to a local This app deals with some of the most personal data a student has: private group chats and attendance records. Open models gave me choices a closed API wouldn't: