Inspiration

To live a good life health is very important. But it is very difficult to the consult the doctor if any health issues. The proposed idea is to create a health related chatbots using  The user can achieve the benefit of a healthcare chatbot only when it can diagnose all kind of disease and provide necessary information. Thus, people will have an idea about their health and have the right protection...

What it does

The system provides text or voice assistance, Bot will provide which type of disease based on the user symptoms and provides doctor advice and also provides food suggestion that means which type of food you have to take and images related to disease.

How we built it

TF-IDF (Term frequency-inverse data frequency) Cosine similarity algorithm

Challenges we ran into

 Limited appointment availability, office hours  Geographic, clinician shortage issues  Transportation barriers  High healthcare costs  Social determinants of health barriers  Shortages and inefficiencies

Accomplishments that we're proud of

Artificial Intelligence that can diagnose the disease and provide basic to reduce the healthcare costs and improve accessibility to medical knowledge .

What we learned

Despite the initial chatbot hype dwindling down, medical chatbots still have the potential to improve the healthcare industry. The three main areas where they can be particularly useful include diagnostics, patient engagement outside medical facilities, and mental health. Healthcare chatbot is great tool for conversation language between human and machine. And provides the information related to user symptoms.  These chatbot acts as a medical reference, which helps the patient know more about their disease and helps to improve their health.

What's next for AI HEALTHCARE CHATBOT

Improving Efficiency and Accuracy.

Built With

  • cosinesimilarityalgorithm
  • python
  • tf-idf
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