SJCIT-ECE: Smart running water detector using Edge Impulse

smart running water detector using Edge Impulse project presented by Nithya Shree N Meghashree S Poornima K This project presents a TinyML-based Smart Running Water Detector developed using Edge Impulse and audio classification techniques. The system is trained to identify running water sounds and differentiate them from background noise using machine learning. This project demonstrates how TinyML can be used for smart water monitoring, water conservation, and intelligent automation systems.