Client
A Leading Transportation Service
Challenge
Navigating the Challenge: Predicting Travel Costs in Real-Time! Accurately estimating travel fares was a challenge due to fluctuating fuel prices, demand variations, and route preferences. Users needed a system that could provide real-time and precise cost predictions before booking a trip.
Solution
- Data Processing & EDA: Cleaned and analyzed travel-related datasets for feature extraction.
- Machine Learning Model Training: Built and optimized regression models to predict costs based on distance, time, and demand.
- Scalable API Framework: Developed FastAPI endpoints for seamless communication.
- Efficient Data Management: Implemented PostgreSQL for structured data storage.
Impact & Success : Smarter, More
Transparent Fare Estimates
The system improved fare prediction accuracy by 85%, reducing unexpected price
fluctuations and increasing user trust.
Client Feedback
This solution transformed how we handle fare estimations. The accuracy improvements have significantly increased user satisfaction, and we’re excited to work with you on future AI-driven enhancements!