Any-time Portable Pharmacy Machine(APP)
Author(s):
Dr.R.V.Shalini, Sudeshna H, Mariyadavidprakash P, Ganeshan B, Surya Narayanan M
Keywords:
Remote areas, Pill vending machine, Machine learning, 3D Software.
Abstract
There are numerous remote and underdeveloped regions where access to pharmacies is limited or nonexistent. People in remote areas without pharmacies may struggle to obtain necessary medications, leading to untreated illnesses or worsening health conditions. This model plays the part of a drug store and a pharmacist. It fundamentally collects the information of the understanding who works this prototype which includes age and gender of the patient .The essential health parameters like SPO2 ,temperature, and heart rate is eventually collected from the patient .There's certain data set up done in this model such as a list of disease and its common symptoms and the medications to be given based on the symptoms. The patient's symptoms and fundamental information is collected by key pads while the questions are shown within the display board and to the other end of this model there's a pill vending machine .This vending machine is designed utilizing 3D software with the opening and closing of the vendor done by the steppers motors. These machines typically operate 24/7 and can be found in different areas such as transport stands ,railroad stations, remote areas, hostels, huge buildings with high rated populations and within the regions in need of pharmacy. They usually offer a range of commonly used medications for minor ailments like coughs, colds, and fever. The process of machine learning play key aspect in analysis of the patients disease condition and the apt medicine is delivered similarly what a pharmacist or a doctor would prescribe. Ensuring the security of the patient on the off chance that if the symptom continue for more days even after the prescriptions is done. The machine prefers to visit the doctor immediately.
Article Details
Unique Paper ID: 164338

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 1383 - 1393
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