Python
Sentiment-Based Machine Learning Approach
for Mapping Citizen Problems
Developed a real-time machine learning system to detect, classify, and map citizen problems from tweets using NLP and Named Entity Recognition. Designed a web interface for visualizing issues along with their geographical locations, utilizing Python, Django, React.js, and PostgreSQL.