Python
Java
JavaScript
Scikit-learnA traffic management platform that uses ML-based demand forecasting and adaptive routing algorithms to optimize public transit scheduling and reduce commuter wait times for MTC Chennai. It was trained on real MTC and OpenCity datasets with a companion Android app for end-user access.
Unique Features
Real-time traffic data integration with commuter density and event information
Predictive analytics using 9 ML models (Random Forest, XGBoost, AdaBoost, Gradient Boosting, Extra Trees) for demand forecasting
Adaptive scheduling and routing with AI-driven vehicle deployment
Graph-based route visualization with multiple NetworkX layouts
Companion Android app for end-user access
Tech Stack
LanguagesPython, Java, JavaScript, MATLAB
MLscikit-learn, Random Forest, XGBoost, AdaBoost, Gradient Boosting, Extra Trees
VisualizationNetworkX, Bootstrap
MobileAndroid SDK, Android Studio
InfrastructureGoogle Cloud Platform