Medha11/Twitter-Trends — reverse-engineered prompt

Build me a web app that tracks trending topics from Twitter style tweet data and shows what people are talking about right now. It should collect or load tweets, clean them, find the most common hashtags and user mentions, group related tweets into topics, run basic sentiment analysis, and show the top trends on a simple portal.

For each trend, I want a detail page with the trend name, rank, related live or sample tweets, a simple trend graph over time, a word cloud style summary, and any useful links found in the tweets with short article summaries if possible. It should also try to classify tweets into topics using topic modeling so similar tweets are grouped together.

Use Python and a web portal like the existing project suggests. It can use a local database for storing tweets, trends, topics, links, and summaries. Please make it easy to run locally, with setup steps, seed or sample data if live Twitter access is not available, and clear places to configure database and API settings. Look up current docs online if you need to.