Abstract: Methods and systems for detecting water quality, can involve classifying the quality of water using a water meter with respect to data indicative of ultrasonic time-of-flight (ToF) change behavior due to a mixed or combination of impurities in the water, and utilizing a sequential learning unit for classification of impurities in the water. The data indicative of ultrasonic time-of-flight change behavior can be obtained from one or more ultrasonic sensors associated with the water meter. The impurities in the water can be classified by the sequential learning unit as water quality parameters including one or more of, for example, TDS (Total Dissolved Solids), ph level, chlorine residual data, turbidity information, and total organic carbon values. The data can be transmitted to a user through a radio frequency frame.