an automated system for identification of fake news on social media platforms

Project Title

an automated system for identification of fake news on social media platforms

Project Area of Specialization Artificial IntelligenceProject Summary

an automated system for identification of fake news is a web base system that can detect the news on social media platforms by gathering info from authentic websites.

Project Objectives

the objective of this project is to eliminate and reduce fake news from the society and reduce confusion of fake and real.

Project Implementation Method

we use different aritificial algorithms. we imlement 5 different algorithms on python upiter notebook . we use naive baise , SVM, KNN, random forest . we make an ensembeled hybrid algorithm of it that classify the news as real fake. we make web crawler for the purpose of searching news automatically.

Benefits of the Project

This Project aims to: ? detect and analyze fake news from different interactive media like face book and twitter. ? It will filter unauthentic news that startled people for the ease of society. This Project includes objectives as under: ? Analyze different news on interactive media and News Feed. ? Using various kinds of algorithm to intelligently detect news and categorize it accordingly. ? Using different kinds of datasets from authorized sources like Kaggle, Google and GitHub. 

Technical Details of Final Deliverable

the final delieverable will be the website that will classify the news as real and fake. the user enter the news and the system will classify the news as real or fake.

Final Deliverable of the Project Hardware SystemCore Industry TelecommunicationOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	50000
laptop	Equipment	1	50000	50000