College Copilot: an AI that tells my friend what matters today

A developer built College Copilot, a Streamlit app that ingests a student's scattered college updates — WhatsApp exports, notice PDFs and screenshots — and matches them against her subjects, attendance and interests to answer "What matters for ME right now, and what should I do?" The tool, built for a B.Tech student named Keerti, runs locally via Ollama with the Qwen2.5 7B model (plus an optional Qwen2.5-VL vision model) so private chats and attendance records never leave the laptop, and it flags actionable items such as a DBMS attendance shortfall against the 75% requirement.

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: