Automatic Question Tagging using k-Nearest Neighbors and Random Forest

Automatic Question Tagging using k-Nearest Neighbors and Random Forest

₹5,000.00
Product Code: JAVA - Machine Learning
Availability: In Stock
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Product Description

Aim:

          The main aim of this project is to give knowledge regarding Health and diseases of human by receiving user query.

Synopsis:

            Internet has demonstrated itself as a magnificent design over time. Today, billions of people have contact to internet and they promote by making proper use of that technology. This technology can be used in abundant different ways to aid our comfort and ease likewise Tagging is a machine learning technique which provide tags to the information that user can easily identify the related information user searching for but there is flaw in that method most technology uses manual tagging and semi-manual tagging which is time consuming and people must be expert in that domain has the ability to identify the question and tag them it is not possible in real time and high in cost. We propose an automatic tagging method using NLP which automatically tag question where user can get what information he is searching for which overcome earlier methods.

Proposed System:

         We propose an automatic tagging of questions by using NLP (Natural language processing) one of the machine learning techniques. Machine Learning (ML) is applications of artificial intelligence (AI) that provides systems the ability to automatically learn. NLP analyzes understand the human language in a smart and useful way. The previous systems are build using manual and semi-auto tag which is not suitable in making daily updates of data and is not possible to generate requested information and mines the unwanted answers (information) to the user that are confusing and tags are mismatched wrong it makes difficult to observe the information. In this work we done an automatic question tagging that overcome all existing problems. The Medical datasets are collected from the Medinet library. the data’s are stored in the CSV file formats for the later use. CSV file contains the questions and answers from the medical health domain and then the automatic tagging takes place of the question and Answer then the user search the query in AWS(Amazon web service) and the query is forwarded to the Medinet library to extract the user queried related answer .Medinet library contains 700 medical domain files which is stored in tc2011 api if the requested file not found in Medinet it redirect to PDF box it will provide pdf files(contains information about domain or diseases) related to the question The pdf files are extracted by using lucene indexing which provide fast retrieval of files If the answer is not related to query or not clear. the question will forwarded to the Expert(doctor) who can clear the doubts and replay for the query.Finally providing the quiz for the student who want know their knowledge in the medical field and providing them domain score and overall score and feedback for the student. 

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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.