The first Bitcoin protocol and proof of concept was published in a white paper in 2009 by an anonymous individual or group under the pseudonym Satoshi Nakamoto. Nakamoto left the project at the end of 2010. Other developers took over, and the Bitcoin community has since grown exponentially.
Bitcoin emerged from the global economic crisis of 2008 when major banks were caught abusing borrowers' funds, manipulating the system, and charging exorbitant fees.
To solve these problems, the creators of Bitcoin want to put transactions in the hands of bitcoin owners, eliminate middlemen, reduce interest rates and high transaction fees, and make transactions transparent. They have created a distributed network where everyone can control their money seamlessly.
However, there are problems with bitcoin such as hackers breaking into accounts, high volatility of bitcoin, and long transaction times. With volatility, it is always difficult to predict the bitcoin price.
So,we have created a tool that forecasts short term predictions in popular cryptocurrency Bitcoin(BTC) based on historical data and providing future prediction of prices based on prior data analysis and Sentimental analysis is also carried out based on the Bitcoin Tweets scrapped from Tweeter for which we have used NLP.
While training and testing the model we have faced lot of problems because we couldn't get the data for traning and testing our model.
While integrating the data model with the frontend we intialiy did with the pickle pakage but it wasn't compatible so then we used keras for it.
While scrapping the news data from tweeter we had tried different API's
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