ML / Optimization✓ CompletedMay 2026
TravelIQ
A comprehensive travel optimization framework that integrates SARIMAX-based crowd forecasting, statistical weather suitability modeling, and vehicle-routing optimization for intelligent itinerary generation. The system builds predictive pipelines combining time-series forecasting, transformer-based sentiment analysis, and constraint-based scheduling methods to deliver personalized, data-driven travel recommendations.
Tech Stack
PythonSARIMAXDistilBERTOR-ToolsTime-Series ForecastingNumPyPandas
Key Highlights
- SARIMAX-based crowd density forecasting for 20+ tourist locations
- Transformer-based sentiment analysis using DistilBERT for real-time reviews
- Constraint-based VRP optimization using Google OR-Tools
- Weather suitability scoring using Open-Meteo API
- End-to-end pipeline from data ingestion to itinerary output