Abstract
Abstract: Fake News is a Global problem and is constantly increasing. There are too many people that goes through a fake news and constantly making a new and fake perspective over a subject. To develop a sustainable AI solution is the market demand for many news websites and social platform. The most the work in this era are developed on Backdated Neural Network Classifiers. To engage with latest Model over a highly rated dataset like ISOT Dataset can be a sustainable solution for Fake News Detection. BERT (Bidirectional Encoder Representations from Transformers) can dynamically calculate every input and output element and their weightage. Combining this technology with the existing ones will help to build a sustainable product with a very novel cause to eradicate and control fake news over internet. It will help to detect, eliminate and try to prevent as much as possible threats causing by Fake News
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