Chatbot
Chat bots in health care services have the potential to provide patients access to immediate medical information. Health care chat bots could help patients better manage own health related issues. An AI based chat bot can provide an adequate and instant solution for human health related queries, so this proposed methodology provides a reliable solution that resolves users’ health care issues through a user-friendly environment. Chat bots could be useful for preliminary information; however, it’s vital that patients don’t try to use them to replace human doctors. They can answer fundamental questions, but patients should always verify the information with a medical professional before taking the prescribed prescription. Hence, the chat bot reaches each and every individual for not only answering his/her questions but also provides reliable suggestions. In the study AWS has been implemented for a trouble-free output, which provides sequences of services to provide effective and efficient usage of bot. The Simulations have been enhanced in the study and automated the bot to do the simulations by itself.
Install / Use
/learn @SandhyaRani18/ChatbotREADME
Medical chatbot
Chatbot based on A.W.S LEX
This process gets done by integrating Lex with Lambda and S3 Bucket
LEX
- Create an intent.
- Create slots in this intent and assign them with respective values.
- Provide sample utterances for the bot.
Slots Allotment in lex
| Slots | Values | | --- | --- | | Medicinetype | Tablets, Tonic, Lotion | | Age | Teen, Child, Old | | Symptoms | Cold, Cough, Allergy, Fever, Headache |
Lambda Fulfillment
- The Lambda fulfillment will be done in Lex.
- This requires a node.js code which makes the integration of Lambda and S3 with Lex possible.
- This fetches the required data from S3 bucket and sends it to the Lex.
The code is provided here.
https://github.com/ManojRamKumar/chatbot/blob/master/index.js
In Progress


