Inspiration
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:
- tkinter
- os
- webbrowser
- numpy
- pandas
- 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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