Chatbots are software developed with machine learning algorithms, including natural language processing (NLP), to stimulate and engage in a conversation with a user to provide real-time assistance to patients. Chatbots have already gained traction in retail, news media, social media, banking, and customer service. Now, it is time to leverage it in healthcare. For instance, we could get the following benefits: • less time spent commuting to the doctor’s office • less money spent on unnecessary treatments and tests • easy access to the doctor at the push of a button

What it does

Our hack is a Healthcare Chatbot to stimulate the predictions of a general physician. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for. Finally it also suggests a doctor who he/she can contact.

How we built it

Using Python and its various modules:

  1. tkinter
  2. os
  3. webbrowser
  4. numpy
  5. pandas
  6. matplotlib and our favourite sklearn(decision tree classifier) to deploy the Machine Learning Algorithm

Challenges we ran into

the integration of the model with GUI

Accomplishments that we're proud of

Learnt tkinter to make some awesome GUIs

What we learned

Learnt tkinter to make some awesome GUIs

What's next for HealthCare JARVIS

We plan to make our application available for the people. We would like to add many more functionalities here: patient recognition, fighting pandemics and epidemics, genomics, organ donation, patient matching, etc. For this we would like to integrate it on a ledger technology like blockchain so that it is transparent, secure, immutable, peer-to-peer distributed and trustworthy.

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