mobile application development mini project.

Hand book for dental technicians for manufactoring prosthesises.

Basically J-Pharma Android App was my University FYP, the main idea was to connect the medicine company to whole seller through app for managing orders.

FAM, Mountain First Aid, is an IOS/Android application, that helps in case of emergencies when Internet Access is unreachable. The app is in develop in a private repository before the actual release.

Smart Interface to identify HIV inhibitors

MedicinesCompose

The Medical store system software is a medicine stock inventory system used in medical store

Willkommen bei Medicare! Hierbei handelt es sich um eine App zur Verwaltung von Medikamenten.

It's my university project. user can find any medicine in this application. user can save his prescription int this application and use anytime to scan.

This is a Medicine Store Searching website, By using this we can find the nearest medicine shop in which the required medicine is available

An interactive platform that provides a medium of communication between a concerned user/patient to an AI that delivers accurate predictions for prognosis taking into consideration the symptoms and various details and applying ML approaches to devise a diagnosis. The communication/platform, the important part of this project, will be developed a…

A progressive web app to help keep track of ones medicine intake.

GoEmergency is a healthcare service that was built up to help people check their symptoms and correlate them with diseases

An app that reminds you to take your medications on time

Who is a Liver Patient?

Frontend for FarmaCare created in flutter using MobX and Provider.

Fracture Care (Surgery Residency) Education Tool is intended to teach and assesses fixation of femoral neck fractures for Yale's surgery care residence

Decentralized data market for GenoPharmatic information

This project aims to create a medicine recommendation system based on symptoms provided by the user. The system is built using machine learning models trained on a dataset of symptoms and their corresponding diagnoses. The frontend is designed using Bootstrap for an intuitive user interface.

Federated Learning in Medicine Application Using Kaggle Medicine Data