The process of water purification or water filtration takes several stage approaches. In which, the membrane model process is an important role in filtration. This research work is done by considering double filtration method for filtration process and it is modelled by clustering of Artificial Neural Network and multiple linear regression approach. In this research work, ten different physical parameters and chemical parameters for designing our model. The measurement of groundwater quality for both irrigation and drinking water is a complex process due to various factors such as geology, hydrogeology, biology, etc. With the help of Neural network and fuzzy logic systems approach, we have studied the quality of water in various part of south India. For the process of double filtration process, we have taken rapid sand filter followed by slow sand filter. For the membrane process of water treatment, the membrane chosen for the research are reverse osmosis, microfiltration and nanofiltration.

BIOFET is a device which changes the electrostatic potential due to binding of an analyte. Nanotechnology plays a vital role in Biosensor field-effect transistor (BIOFET) by incorporating the Nanowire in the structure. The aim of the project is to improve the sensitivity of a BIOFET by varying the oxide thickness, nanowire length and radius. The sensitivity and Debye length was calculated. The obtained results were analysed and compared by using the SPSS tool.