K-073-Forte

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Inspiration

This smart mobile application helps the visitors of Mecca to get diagnosis for many different types of diseases.

What it does

When any visitor needs to be examined, to avoid the crowd on the examination camps, anyone can use a mobile application. Simply, you'll write what you're feeling in the specified field and get the results.

How we built it

We built an iOS mobile application with simple user-friendly interface which anybody can use. We built our ML model using Python and integrated in ios with coreML. we're training our model using a preliminary dataset which includes only 5 types of diseases.

The Code (API, Our code, open source)

API: Google Map , Google engine Dataset : http://people.dbmi.columbia.edu/%7Efriedma/Projects/DiseaseSymptomKB/index.html Code : https://github.com/hosamelsafty/HajjDoctor

What has been created during the hackathon so far

1- create ios application which login with passport number 2- take what the hajji is feeling using voice or text . 3- build the training model and get great accuracy. 4- build google map for drone path.

Challenges we ran into

one of the big challenges is to find a suitable data set. we need the inputs be text sentences as any patient describe. we didn't find that so we found an approch which it's a symptoms for each diseass, we managed to extract our dataset from it.

Accomplishments that we're proud of

finish 3 features in short time.

What we learned

1- how to make business model . 2- using google cloud to make great app.

What's next for HajjDoctor

classify the disease then send the medicine using drone.

Built With

• conda
• ios
• machine-learning
• natural-language-processing
• xcode