Tweet WordCloud Generator
- Tech Stack: Python, HTML, CSS, Bootstrap, GCP(Pub/Sub, Dataflow, Data Studio, GAE, BigQuery)
Created a web‑based application to provide the user with ability to find the topics tweeted by any user with the help of Google Cloud Platform services & Twint OSINT library.
Coded Pub/Sub routine to fetch 1000 tweets at a time from Twitter; used Dataflow for resource autoscaling and dynamic work rebalancing, reducing overall response time by 50%; stored data in BigQuery table for efficiently displaying data in Google DataStudio.
Tested the scalability of web application by generating 10000 user requests with the help of Apache Beam.