Ml Driven Customer Assistant-Task Pilot

Authors

  • Dr M Sandhya Rani Hod; Department Of Information Technology Bhoj Reddy Engineering College For Women, Hyderabad India. Author
  • Konam Likitha, Emmadi Loka Kalyani, Ardham Nidhishaa B.Tech Students; Department Of Information Technology Bhoj Reddy Engineering College For Women, Hyderabad India. Author

Keywords:

AI Automation, Natural Language Processing, Sentiment Analysis, Speech-to-Text, Workflow Management, Customer Support, Chatbot, Gemini Model, MongoDB, BPO Systems

Abstract

TaskPilot is an intelligent workflow automation platform developed to optimize customer support operations in Business Process Outsourcing (BPO) environments. The system integrates Speech-to-Text conversion, Natural Language Processing (NLP), sentiment analysis, and AI-based response generation to manage customer interactions through both voice and text interfaces. It utilizes a centralized MongoDB database for efficient data retrieval and employs a fine-tuned Gemini model to interpret user intent accurately. Routine queries are handled automatically, while complex or emotionally sensitive cases are escalated to human agents.In addition to automated query handling, TaskPilot offers a unified dashboard for agents, automated follow-up scheduling, a dynamic knowledge base, and a 24/7 self-service portal for customers. The platform also generates analytical insights based on customer interactions, sentiment trends, and agent performance. By combining AI automation with human intervention, TaskPilot enhances efficiency, reduces operational costs, and ensures consistent and scalable customer service delivery in modern BPO systems.

Published

2026-03-31

How to Cite

Ml Driven Customer Assistant-Task Pilot. (2026). International Journal of Engineering and Science Research, 16(1), 563-569. https://r48.c30.mytemp.website/index.php/ijesr/article/view/1572

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