Abstract: - Most of the smart phone users like better to read the news via social media over internet. The news websites are publishing the news and supply the source of authentication. The question is how to authenticate the news and articles which are circulated social media like WhatsApp groups, Facebook Pages, Twitter and other micro blogs & social networking sites. It is harmful for the society to believe on the rumors and pretend to be a news. The need of an hour is to prevent therumors especially within the developing countries like India, and specialise in the right , authenticated news articles. This paper demonstrates a model and therefore the methodology for fake news detection. With the assistance of Machine learning and tongue processing, it's tried to aggregate the news and later determine whether the news is real or fake using Support Vector Machine. The results of the proposed model is compared with existing models. The proposed model is working well and defining the correctness of results upto 93.6% of accuracy.Keywords: Artificial Intelligence, Fuzzy Logic, Fuzzy Inference, Machine Learning, Naïve Based classifier, News, Prediction, Recommendation, Support Vector Machine (SVM).