Scraped news articles from major tech sources using Beautiful Soup, performed sentiment analysis on text using the Python NLTK library and extracted keywords to create dataset

Weighted frequency of keyword appearance and sentiment against Google trends data for keywords

Used LSTM networks to model and predict future trends in keyword popularity using Tensorflow and Keras

Hosted on Firebase

Live demo at http://trendcast-yhack.firebaseapp.com