Skip to content

shoyo-su/Fake-News-Identifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fake-News-Identifier

To analyse the news article for its truth value.

Aim-To create a credible platform where the user can verify the authenticity of the report.

Basic methodology-The system will take the headline or entire article, crawl through the first few pages of web results and then generate a truth report related to the news and then cross verify the results and then give the final report. Methods used for project implementation-1)Web crawling 2)Database management 3)website development 4)information processing with the help of AI. Technologies used-1)Database-mongodb or SAP(Pronounced and “S” + “A” + “P” ) Hana 2)Web development-Scripting-Python and frontend-* 3)Web crawler-Python based API 4)Information processing -Keras library over tensorflow with NLP API's in python. Estimated time: It would take 2 to 3 months for the completion of the project. Steps in Implementation: Stage 1:Building of the web crawler(Time -1 week) Stage 2:Setting up of DBMS (1-2 weeks) Stage 3 :Information processing(1-2 months) Stage 4:Creating the website(20 -25 days) Starting with the web crawler the team will be working on these technologies simultaneously tackling a problem at a time.

LET’S DO THIS !!!!!!!!!!!