WoundCarer

A Healthcare ChatBot Built using Azure Services

This project is done as part of the Future Ready Talent Virtual Internship Program organised by Microsoft.

Industry

• HEALTH

Problem Statement

Most of injury/surgery cases become complicated if the wounds are not manage appropriately i.e improper maintenance which leading to worsen the condition. Proper precautions in treating patients can improve wound recovery. In emergency cases the patient must get to the hospital as soon as possible. But in many conditions, it is common to see First aid is able to manage/control the situation and get to the hospital on time. The most of the non medical and not paraMedical person are not always aware about the FirstAid of the injury and the minor treatment

• Skin cut/tears
• Surgical wounds or stitches
• thermal chemical or electrical burns, etc.,

Through this ChatBot, one can ask steps to take firstaid of injury and maintainence tips to take care of such wounds.

Project Description

This is a wound healing supporter ChatBot named WoundCarer is for the people who got recently "injured" or went through "The Surgery" . This bot gives/provides the minimal informatiom or instructions On their recovery ! To overcome the challenges pondered over in the problem statement, I ideated a ChatBot wich capable to answering the following type of Questions responsibly

1. How do I keep my wound clean?
2. First aid kit contents
3. What should one do if the patient is bleeding heavily? etc., .

Azure Services used

for AI+Machine Learning -

• Azure bot Service : used to create the chatbot (woundcarer) and channelizing it with telegram

for Cognetive services -

• Azure QnA Maker : used to create knowledge base as the Source of the Bot content

• Azure Language Understanding(LUIS) : used this machine learning-based service to build natural language into Bot

for Cloud storage -

• Azure Blob Storage : used for scalable cloud storage backup and recovery

as Developer tools -

• Bot Framework Composer : Mostly the project is developed with minimum code using this composer.

• Visual studio 2022

Project Building process highlights

• started with the Bot Frame work composer

• Created Resources

• used microsoft Cognitive service LUIS Language Understanding and deployed

• all Resources in group and Deployments succeeded

• Published Directly to Azure

• tested on web Chat (Azure portal)

• Channelized in telegram

Accessing the Bot

used telegram as a channel to access the bot

to Use the chat bot one must have access to the telegram .

• Bot URL https://telegram.me/Woundcarer_bot

QR(Quick Responce) code:

• Connect with QR Code on your Mobile/Smart Phone

Demonstrated Result:

• Open desktop App and start Conversation

Project demonstration video URL: https://youtu.be/kI9OSZtbPjg

Certificates of Completion!