Full-stack Web Application for Data Visualization

We selected the monthly stock price from S&P 500 Index dataset, in which we selected the data past 1989, bringing the range from 1st January 1990 until 1st May 2024. The data behind this date was extremely different in terms of the trend to our current data and would only affect the predictions negatively as it would have made the models more biased to the lower values. With the data we can more accurately our current predictions. We combined all the technologies and tools effectively in a blend to create an interactive web-app to check the models and their predictions