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Inventors's repositories

sdg-007-frontend

Dv App is a drug verification app that will enable users to verify drugs with the NAFDAC number before taking any drug. Users will be able to confirm if any drug is approved by NAFDAC.

Language:VueMIT8 1 37

sdg-002

MedTime is a web/mobile app that helps people with short-term memory set reminders to take their medicine or apply some treatments to a wound.

Language:Vue6 3 27

open-source101

A repository to help newbies get started in open source contribution.

5 20

This project is inspired to provide a swift response to tackle this under reported cases. It is a reporting platform aimed to help provide help and solutions to this ravaging under reported issues baffling our society. SpeakUp work by following up reported cases, giving guides and tips on possible way out based on the report and help asked for.

Language:PHPMIT5 2 36

SDG005

InventorsSDG005

Language:JavaScript3 2 5

sdg-002-backend

Language:PHP2 2 12

sdg-003-frontend

Language:JavaScript2 2 6

sdg-006-Frontend

MedHouse is an online platform to bridge the gap between patient and medical expert by enabling easy access and seemless communication between the two parties. It allow for easy scheduling of appointment with any medical expert of your choice at a very low cost. It also keep track of patient drug prescription by sending notification as at when they are supposed take their medication, a reminder on how their various allergies and so on

Language:JavaScript2 2 44

sdg-007-backend

Dv App is a drug verification app that will enable users to verify drugs with the NAFDAC number before taking any drug. Users will be able to confirm if any drug is approved by NAFDAC.

Language:PHP2 30

Team-Orange

Language:JavaScriptMIT2 2 9

Team-Raspberry

2 3 9

Data-Dictionary

1 20

Data_Hackathon_2023

Compete in this hackathon to win, practice, learn and build your Data Science portfolio. This hackathons enable you to compete with leading data scientists and machine learning experts in the world.

1 20

sdg-003-backend

Language:PHP1 1 7

sdg-008-backend

Credit card fraud incidences stays at around 0.1% of all card transactions, therefore we need a method that is simple and fast to detect most fraud. Credit card fraud detection system is a fast, efficient and possibly transparent machine learning model designed to detect any form of fraudulent activities.

1 40