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This system combines the power of conversational chatbot interfaces with advanced disease prediction algorithms, enabling users to receive real-time medical guidance and identify potential health issues at an early stage.

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picoders1/AI-Driven-HealthBot-and-Disease-Diagnosis-System

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AI-Driven-HealthBot-Disease-Diagnosis-System

This system combines the power of conversational chatbot interfaces with advanced disease prediction algorithms, enabling users to receive real-time medical guidance and identify potential health issues at an early stage.

GUI Implementation Snapshot with Documentation Stuff:

Index Page: This is mainly initial launching page which contains different sort of Modules such as Login, Signup, Help Section so on & so forth.

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Fig 6.3.1

Sign Up Page: It deals with new user registration by taking up to 3 parameters

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. Fig 6.3.2

Login Page: In Login Page, by providing authentic User credentials help one to reach into dashboard

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Fig 6.3.3

Dashboard Page: Here, it consisting of 5 different health diagnosis model & disease index Page which contains all the information related to disease briefly.

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Fig 6.3.4

Disease Index Page: It mostly includes list of all the diseases and given a bit content about their symptoms. So, it just like a directory to learn more about the disease if the system predicts likelihood of an user having the disease.

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Fig 6.3.5

Cancer Detection Page: This is just a simple form which takes patient input for cancer diagnosis.

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Fig 6.3.6

Cancer Detection Page: This is just a simple form which takes patient input for cancer diagnosis & predict if the patient is likelihood of having the diseaese or not.

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Fig 6.3.7

Cancer Detection Page: Provide the result of cancer disease diagnosis

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Fig 6.3.8

Report Download Page:A Patient can download their diagnosis report in screenshot format

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Fig 6.3.9

Help page: It guides a patient how to use this entire health diagnosis system.

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Fig 6.4.0

Chatbot Index Page: This page is dealing with launching the chatbot & begin the communication by sending greetings to patient

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Fig 6.4.1

Chatbot QnA Page: By asking an meaningful health query it will deliver the answers to its user

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Fig 6.4.2

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Fig 6.4.3

Thank You!!!

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This system combines the power of conversational chatbot interfaces with advanced disease prediction algorithms, enabling users to receive real-time medical guidance and identify potential health issues at an early stage.

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