nuk.ai

We've all been there—walking through Snell Library at 3 PM on a Tuesday, climbing floor after floor, checking zone after zone, only to find every seat taken. 30 minutes wasted. Every single day. For 20,000+ Northeastern students, this isn't just frustrating—it's a productivity killer that impacts academic performance and adds unnecessary stress during finals week.

The question hit us: What if you could see inside the library before you even leave your dorm? What if ML could predict when your favorite study spot would open up? What if you could just ask where to go and get an intelligent answer?

We were inspired by real-world implementations like UCL's occupancy detection system and validated room occupancy datasets. We realized that with modern IoT sensors, machine learning, and conversational AI, we could solve this problem not just for Northeastern—but for universities everywhere.

nuk.ai was born from this simple idea: students deserve to know where they can study before they waste time searching.