An electronic bidet system with machine learning computer vision software containing a first computational model of human genital and rectal areas and a second computational model for cleaning a user's genital and rectal areas comprising:
- a water reservoir tank, a bowl with an opening, a seat, a seat lid, at least one fluid nozzle for ejecting fluid, means on the bidet for moving the fluid nozzle in three-dimensions within the bowl, at least one air dryer comprising an air dryer nozzle and means on the bidet for moving the air dryer nozzle in three-dimensions within the bowl, a computing device comprising executable software, a memory storage device, a camera contained within the bowl, wherein the camera is operatively connected to the computing device, a bowl light proximate to the camera, at least one actuating device for activating the bidet, further wherein the camera captures a first plurality of images of the genital and anal regions of the user through the bowl opening of the bidet, wherein the first plurality of images is transmitted to the computing device and analyzed with the machine learning computer vision software to identify and locate the types, sizes, shapes, and positions of the lower body orifices in the user's genital and rectal areas, wherein the computing device sends a signal to the means for moving the fluid nozzle in three-dimensions to automatically adjust the nozzle to eject fluid for cleaning the user's genital and rectal areas, wherein the camera captures a second plurality of images of the genital and anal regions of the user through the bowl opening of the bidet, wherein the second plurality of images is transmitted to the computing device and analyzed with the machine learning computer vision software to identify any unclean areas of the lower body orifices in the user's genital and rectal areas, wherein an identification of unclean areas sends a signal to the means for moving the fluid nozzle in three-dimensions to automatically adjust the nozzle to eject fluid for cleaning the user's unclean areas in the genital and rectal areas, wherein the camera continues capturing additional pluralities of images of the genital and anal regions of the user for analysis with the machine learning computer vision software to identify any unclean areas of the lower body orifices in the user's genital and rectal areas until no more unclean areas are identified, further wherein the computing device sends a signal to the means for moving the air nozzle in three-dimensions to automatically adjust the air nozzles to eject dry air for drying for the user's genital and rectal areas, wherein the first computational model of the human genital and rectal areas and the second computational model for cleaning the user's genital and rectal areas are updated with the results of each analysis of the machine learning computer vision software each time the user uses the bidet system, further wherein the first and second computation models are updated with patterns of unclean segments, injuries, and inflammatory conditions of the user's genital and rectal areas.