Inspiration
In recent years, cryptocurrenices have been gaining a lot of momentum as individuals and organizations want to monopolize on this market. It can be a complex task for an individual to get into crypto. We aim to make getting into crypto investments easier and more simple to understand.
What it does
Our project uses the LSTM Neural Network to predict Cryptocurrency trends and gives the user a simple output of the prediction.
How we built it
Built using Python, TensorFlow, Streamlit
Challenges we ran into
- Live data acquisition from yahoo finance
- Deploying the model
- Choosing the correct Algorithm
Accomplishments that we're proud of
- Succesfully seting up live data acquisition
- Deploying our Model
Built With
- python
- streamlit
- tensorflow
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