Project Details

This project predicts the stock price of State Bank of India (SBI) using a LSTM model.

Dependencies

• tensorflow
• joblib
• yfinance
• streamlit
• plotly
• pandas-market-calendars
• scikit-learn

Create conda environment and Install dependencies using:

conda create -n sbi_sto_env python=3.12
conda activate sbi_sto_env
pip install -r requirements.txt

Run the Streamlit App

To run the Streamlit app locally, use the following command:

streamlit run app.py

Streamlit Hosted App

You can view the hosted Streamlit app at:

https://sbi-stock-prediction.streamlit.app/

Notebook

The univariate/univariate_stock_price_prediction.ipynb notebook contains the code for training the LSTM model and saving the scaler.