vishal815/-Stock-market-Prediction-with-Machine-Learning-Django — reverse-engineered prompt

Build me a Django web app for stock market prediction using real time stock data. I want a clean homepage that shows current stock prices, then a prediction page where a user can type a valid stock ticker and the number of days they want to forecast.

When they click predict, show the predicted prices, basic details about that ticker, and a QR code that links back to the prediction result. Also show two simple graphs, one for the recent real stock price movement and one for the predicted prices over the selected days.

Use a simple machine learning approach like linear regression with Python data tools, and pull stock data from Yahoo Finance or a similar API. Add a ticker info page that lists the valid tickers and useful details about them. Use SQLite for storage and make the UI with normal HTML, CSS, JavaScript, Bootstrap style pages.

Please make it easy to run locally with clear setup steps, migrations, and a requirements file. Look up current docs online if needed.