A modern Flask web application that predicts weekly Uber rides based on user inputs. The application features an Uber-inspired design theme and uses a scikit-learn machine learning model for predictions. Built with production-ready setup and deployed on Railway for public access.
Project Overview
Dataset / Input Data
Dataset Name / SourceUber Rides Dataset
FormatCSV
Size / InfoWeekly ride data with multiple features
Model / Approach
Algorithm / Model
Machine Learning Regression Model
Tools / Frameworks
Tech Stack
Python
Flask
scikit-learn
Gunicorn
Railway
Bootstrap
Results / Output
Performance Metrics
Model TypeRegression
DeploymentRailway
Frameworkscikit-learn
Highlights / Improvements
- Production-ready Flask application
- Uber-inspired modern UI design
- Real-time ride prediction
- Deployed on Railway platform
- Scalable architecture with Gunicorn
