This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.
The deep learning model is an LSTM model which is used on time-series data which comes in handy with the current project

• Data is fetched from yahoo finance regarding the price of a stock over a period of 10 years
• The data is preprocessed and fed into the model to create predictions
• Charts regarding the 50-day, 100-day and even 200-day moving averages of the particular stock are drawn
• The predictions are plotted along with the correct price in a plot using matplotlib
• The entire interface is displayed as a frontend webapp using streamlit and coded out in python