International Journal of Scientific Research and Engineering Development

Heavy industry, city growth, fewer green spaces - these shift how we breathe indoors. Breathing poor air inside homes ties closely to lung issues, heart strain over time. Most filters run nonstop, same speed always, never adjusting when air changes. That wastes power, often misses cleaning properly. Here comes a new kind of cleaner: built around live feedback loops, shaped by data streams. It watches fumes via MQ-135 chips, tracks tiny particles using laser counters, logs warmth and dampness through digital probes. Brains behind it? An ESP32 chip processes signals, triggers responses without human prompts. Monitoring happens continuously, adjustments follow conditions as they unfold. Not preset cycles, but fluid reactions define its rhythm. Clean air isn’t scheduled - it emerges from constant sensing. Data from sensors gets analyzed instantly so cleaning actions adjust on their own through preset levels plus learning patterns. Inside the device sits several filters working one after another - first a basic screen, then a fine mesh, finally charcoal that traps gases. Connection to internet services allows constant updates about air conditions sent straight to online dashboards like ThingSpeak or Blynk. Tests show fewer tiny particles floating around along with lower chemical vapors while power use stays low and changes happen quickly. This setup offers an affordable path forward for cleaner indoor spaces able to grow easily where needed without complex parts.

Vedant Vaghela, Deepak L. Vala, Jagdish M. Rathod,"Development of An IOT-Based Smart Air Purifier" International Journal of Scientific Research and Engineering Development, V9(3): Page(842-850) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.