Advanced AI Review Classification System
PythonDistilBERTQwen3-8BTransformersPyTorchHugging FaceNLPMachine Learning
Problem
Need for accurate, cost-effective review sentiment analysis
Solution
Fine-tuned transformer model with local deployment
Impact
81% accuracy with zero operational costs
Users
Businesses analyzing customer feedback
About the Project
Advanced AI system for classifying Yelp reviews featuring custom fine-tuned DistilBERT model, sophisticated prompt engineering with local Qwen3-8B deployment, and comprehensive domain shift analysis. Demonstrates production-ready ML engineering with 81% accuracy and zero operational costs. The system implements state-of-the-art natural language processing techniques, combining transformer-based models with advanced prompt engineering strategies to achieve high-accuracy sentiment classification while maintaining cost efficiency through local deployment.
Key Features
- Custom Fine-tuned DistilBERT
- Local LLM Deployment
- 81% Classification Accuracy
- Domain Shift Analysis
- Zero Operational Costs
- Production-ready Architecture