Smart Mobility Predictor
Jan 2026
About This Project
An AI-powered intelligent urban mobility prediction system using machine learning (Random Forest, XGBoost, K-Means) to forecast travel times, detect traffic patterns, and recommend optimal routes. Features bilingual support (EN/FR) and real-time environmental impact analysis.
Technologies Used
Next.js 16
React 19
TypeScript
Tailwind CSS
Machine Learning
Shadcn/ui
Key Features
- Modern and responsive design that works seamlessly on all devices
- Built with the latest web technologies and industry best practices
- Optimized for exceptional performance and user experience