Hydro Watch: Real-Time Water Quality Analytics and Filtration

An innovative water quality control system called "Hydro Watch" combines machine learning algorithms, cloud connectivity, and sensor technologies. The system collects real-time data on water parameters using temperature, turbidity, pH, and TDS sensors. LoRa communication and MQTT integration are then used to send the data to a user-made webpage. Users can accurately trace changes thanks to the webpage's live visualisation and analysis of water quality data. Hydro Watch employs the XGBoost machine learning algorithm to forecast water potability based on gathered features, ensuring quick response in the event of non-potable water. The easily navigable website offers a central destination for data analysis, facilitating well-informed choices about water treatment techniques. When it comes to guaranteeing clean drinking water, Hydro Watch exhibits better efficiency, dependability, and accessibility than current solutions. Modern sensor capabilities, dependable connection protocols, and astute data processing are all skilfully integrated into its design. Computational time and accuracy evaluations of the system's performance have shown promising results. With Hydro Watch, water quality monitoring has advanced significantly and communities throughout the globe may expect better safety and cleanliness.