▎ 摘　　要

NOVELTY - The paper microfluidic device includes two-dimensional material with paper microfluidics along with the use of the convolutional neural network for image classifier to detect and predict analyte concentration. The analyte is used for detection in both medical and non medical applications. The two-dimensional material is used to accelerate any given analyte buffer solution. The two-dimensional material is used to filter any specific target molecule within or without any analyte buffer solution. The two-dimensional material accurately counts the number of analyte target molecules within or without any analyte buffer solution. USE - Two dimensional material based paper microfluidic device for detecting and predicting any concentration of target molecules in order to minimize guesswork for a common individual to recognize a certain analyte. ADVANTAGE - The two dimensional material based paper microfluidic device has the ability to filter and accelerate any solution, with or without analytes. The device effectively detects an analyte in any solution. It effectively predicts how an analytes concentration will increase. It uses a convolutional neural network for precise image classification for a specific analyte detection and prediction. It provides precise count of analytes, as an electrical conductor. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for: 1) an application for using a camera or any type of reader and LCD connection to read color change in any Filed: material based paper microfluidic device; and 2)an application (APP) for sending GPS coordinates of the device to the nearest hospital. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic view of the two-dimensional based paper microfluidic device using graphene as the two dimensional material as an analyte solution filtration system. Primary channel (101) Graphene (104)