Inside the build
Team AeroSense AI
What they built: AeroSense AI — Vision-Powered Smart HVAC. A real-time, AI-driven air conditioning optimizer that uses a camera + YOLOv8 neural network to count people in a room and automatically adjusts dual-zone AC units — temperature, fan speed, on/off — based on who is where, right now. It pairs a Python vision pipeline with Arduino-controlled hardware (IR blasters, relays, Modulino vibration sensors) and streams everything to a live web dashboard with explainable AI reasoning.
What it solves: India's commercial buildings devour 33% of national electricity — and HVAC alone eats 40% of that load. Here's the absurdity: a typical auditorium AC burns a constant 3.2 kW whether 300 people are seated or the hall is bone empty — and halls sit vacant 60–70% of operating hours. That's Rs.15,000/month per hall cooling air nobody breathes, pumping 0.823 kg of CO2 per kWh (CEA India) into the atmosphere for nothing. The root cause? Conventional HVAC has zero eyes, zero intelligence, zero adaptation. It doesn't know if 200 people walked in or the last person walked out. It just runs — blind, wasteful, and expensive.
Built for: facility managers drowning in electricity bills, building operators flying blind on plant efficiency, sustainability officers hunting measurable CO2 data for ESG, and event organizers stuck between overheated and overcooled halls.
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Source Code: Source Code
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Social Post: Social Post
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Circuit Design: Circuit Link