A Dashboard that gives users a comprehensive visual overview of the sentiment of NIFTY Indices and their constituent stocks. - Generates sentiment based on the news articles associated with stocks. - Everyday 30000 articles are fetched, cleaned up and sentiment analysis is performed on them. - The whole process is automated using Github Actions. - HTTP requests for fetching of news articles are sent concurrently, which speeds up the whole process by 67%. - Created using Python, sentiment Analysis is performed using nltk library and the web app (dashboard) is made using Streamlit framework.