Fake news are described with an intention to misdirect or to delude the reader. We have presented a response for the task for fake news, individuals are clashing if not by large poor locators of fake news. For this reason new system is generated for fake news identification. The most approaches are used such as supervised machine learning. The result of this project determines the actual fake news detection for social networks using machine learning. Number of peoples having social media accounts such as facebook, whatsapp, twitter, etc. This social network is main source of news. Keywords:Content modeling, Fake news detector, Fake news categorization, Stance detection, Machine learning, Social media, online fake news, twitter.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
NON IEEE -2021