Restaurant Review Analysis System using LLMs

This project focuses on building a comprehensive LLM-driven review intelligence system for analyzing restaurant feedback from multiple online sources.

Key features:

• Automated scraping and aggregation of restaurant reviews.
• Sentiment analysis using large language models to generate ratings with ~95% accuracy.
• Natural language explanations for ratings to improve interpretability.
• Keyword extraction and word cloud generation to highlight major themes.
• Modular pipeline design for easy extension to other domains.

Tech stack: Python, LLM APIs, NLP, Prompt Engineering, Data Visualization.

Repository: GitHub - Restaurant-Review-Analysis