Inspiration
We came across the post discussing challenges and innovation of deploying a twitter bot. Our teammate "Priyank Arora" is also doing a thesis in the field of computational journalism and working towards the different methods to detect fake news. Detecting a Twitter bot is part of the project.
What it does
It uses Coinapi to fetch the price and historical data of Bitcoin every hour and tweet using the @hackuta2 account.
How I built it
We fetch data related to the prices of Bitcoin through Coinapi and tweet it using Tweepy using Python. We also forecast the price of Bitcoin for the next 15 minutes using the previous one hour data and plot it.
Challenges I ran into
Data processing, and LSTM algorithm for prediction, unfortunately it is not part of project.
Accomplishments that I'm proud of
Understanding and implementation of Tweepy and BTC APIs using Python.
What I learned
Deploying project in short time and collaboration with teammates .
What's next for Twitter Crypto Bot
Adding feature to reply to the tweets it receives. Using LSTM and Markov Chain algorithms.
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