GitHub - Team-TechLegionz/MediCareBot-SIH-2020: A chatbot that responds to the queries by the user/patient for clinical assistance by searching the Dataset for responses and this dataset will be in the form of .JSON file. Our chatbot is capable enough to interpret to all queries of the user/patient, analyze them and understand the intent of the queries. The chatbot shall search the entire dataset for response to the medical query. ChatBot will also be able to tackle and response to gibberish phrases by the user which is possible due to an appropriate Fallback Content. Chatbot gets trained owing to previously entered medical information and becomes more capable of responding to forthcoming medical queries. The Database has been maintained using MySQL and will be integrated with the NLP engine using Dialogflow API’s which can accomplish word embedding language modeling, part-of-speech tagging, intent and entity detection.

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A chatbot that responds to the queries by the user/patient for clinical assistance by searching the Dataset for responses and this dataset will be in the form of .JSON file. Our chatbot is capable enough to interpret to all queries of the user/patient, analyze them and understand the intent of the queries. The chatbot shall search the entire dat…

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
entities		entities
intents		intents
ABSTRACT_2020_MEDICARE.pptx		ABSTRACT_2020_MEDICARE.pptx
ReadMe.md		ReadMe.md
agent.json		agent.json
chatbot-android-telegram-capture.png		chatbot-android-telegram-capture.png
chatbot-ios-capture.png		chatbot-ios-capture.png
customSmalltalkResponses_en.json		customSmalltalkResponses_en.json
index.py		index.py
package.json		package.json