Crypto currency, also known as digital currency, uses powerful encryption to safeguard transaction records, regulate the production of new coins, and confirm ownership transfers. Coin ownership records are kept in a ledger that exists in the form of a computerised database.. It is challenging to estimate the price of the crypto currency because it is used on a broad scale now and its share can increase or drop suddenly. A machine learning model is created in this project to forecast the price of crypto currency. The application of data science methodology is used to create a better model for result prediction. The key steps in creating a successful model are variable identification and data comprehension. On the pre-processed data, various machine learning algorithms are used, and the accuracy is compared to see which approach performed better. Other performance measures, such as precision, recall, and score, are also taken into account for the model’s evaluation. To forecast the crypto currency, a machine learning model is deployed.