Ayush Maurya

Describes the CAW-RP1 model that fuses deterministic RPA capabilities with AI components (NLP, ML, LLMs) and a reinforcement-learning planner to create an autonomous, context-sensitive workflow engine; reports experimental accuracy, task-completion, error-recovery, and output-quality metrics and outlines future enhancements.

Titled work listed on Google Scholar (author name DM Ayush Maurya) associated with agentic workflow approaches; appears as a 2025 entry in the scholar record.

Conference paper applying supervised ML models (MLR, Random Forest Regression, Decision Tree, ANN) to transportation data to predict vehicle speed; finds ANN and RFR perform well for speed prediction and discusses implications for traffic management systems.