Predicting the opening prices of various stocks listed in the stock market. It collects historical stock price data using the Yahoo Finance API, preprocesses the data, trains LSTM (Long Short-Term Memory) neural network models using TensorFlow to learn patterns in the data, and then uses these models to predict future opening prices of stocks.

The predicted opening prices can be valuable for investors and traders as they provide insights into potential future movements of stock prices, allowing them to make informed decisions about buying, selling, or holding stocks. Additionally, the code demonstrates a pipeline for collecting data, building predictive models, and deploying them for real-world use cases in the financial domain.