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Testing DEXER - An intelligent chatbot that helps preventing and diagnosing Alzheimer’s Disease
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Intro of Alzheimer’s Disease
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Testing Skype deployment
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Data visualization using Power BI for generating reports for medial dignosis
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Solution subscription price list
DEXER
A disease symptoms detection and prevention chatbot.
Inspiration
Approximately 6 million Americans have Alzheimer’s disease or mild cognitive impairment, and that number is expected to more than double to 15 million by 2060.
NO TREATMENT can reverse the progress of AD Vital for us to identify at the earliest stage and then prevent the disease asap.
What it does
Diagnosis:
- Spotting the below symptoms:
- Short-term memory loss
- Negative emotions
- Apathy
Prevention:
- Decreased word fluency
- Monthly report for registered person (family /doctor)
- Daily causal interaction
- Daily learning & “brain-training” game
- Encourage interaction with family & society
How we built it
Using Azure and node.js
Challenges we ran into
- Deployment on Skype because Skype does not support some of the features.
- Integrating Luis and QnA Maker.
- Getting the username and storing it in the Azure Table Storage.
- Sending the email to the relatives of the patient if the stage of the disease is intense.
Accomplishments that we're proud of
- No such product which provides the preventive diagnosis of AZ disease patients exists.
- Collaborated a lot of Microsoft services in our bot on a single platform successfully.
- We were able to achieve our purpose within the 24 hours hackathon.
What we learned
- Some not commonly used Node JS functions.
- Making herocards.
- Connecting bots to different platforms.
- Marketing of our new product.
- Text analytics using different APIS.
What's next for DEXER - Redefining Preventive Diagnosis for AD
Collecting clinical records for Alzheimer’s Disease patients, using machine learning models to analyze the big data.
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