02 / Projects
HexaCiphers
Social Media Intelligence
AI & ML80% Bot DetectionMulti-languageReal-time
Problem
Coordinated campaigns and bot activity on X are hard to separate from organic speech, especially across languages.
Approach
Combined Twitter API ingestion, NLP, and Gemini-assisted classification in a React/Python stack with Postgres storage for bot detection, campaign identification, and sentiment.
Impact
Multilingual, real-time analysis with reported 80% bot detection and risk scoring for campaign activity.
Stack
ReactPythonGemini APIPostgresTwitter APINLP