Crypto currencies are receiving a lot of attention from media due to its importance. Several papers have similar prices but some others don't, but the time complexity of those forecasts is greater, so we use an artificial intelligence-linked algorithm called the least absolute shrinkage selection operator here in this paper to reduce the time complexity. The enormous section of research is crucial part focuses thoroughly on the nature of the cryptocurrency. In this observation, we introduce the usage of regular AI devices and accessible online networking information to predict the development of value of Bitcoin, Ethereum, Ripple and Litecoin’s digital currency showcase developments. We are also using the neural networks, SVM and Random Forests while analyzing the components from Twitter. The outcomes demonstrate that it is possible to predict the movement of the cryptocurrency markets utilizing AI and hypothesis checking with the help of the Twitter data. This data will be used to determine certain cryptocurrency

Keywords : Crypto Currency, Machine Learning, Prediction, Sentiment Analysis, Price Movement.