A cloud-native, event-driven ride dispatch platform using Java 21, Spring Boot, WebFlux, Kafka, PostgreSQL, Redis GEO, and Kubernetes, enabling real-time driver matching, trip orchestration, and reactive stream processing at scale.
Integrated AI-powered demand forecasting, ETA prediction, dynamic surge pricing, and intelligent driver allocation using Transformer-based models, PyTorch, TensorFlow, Hugging Face, and feature-engineering pipelines to optimize dispatch efficiency and operational decision-making.
This is for educational purposes only. If you have some query, feel free to connect with me here -- Ranjan Kumar Mandal