CSR

Introduction:

Dr. Maunendra Sankar Desarkar, Associate Professor and Head of the AI Department, focuses on addressing language gaps in conversational systems. The project aims to leverage Large Language Models (LLMs) for domain-specific applications, particularly in regional languages, addressing the limitations of rule-based systems.

Objective:

The project aims to harness Large Language Models (LLMs) for domain-specific conversational systems, emphasizing regional languages. It seeks to develop goal-oriented systems, covering tasks like intent identification, dialog state tracking, and dialog generation. With a focus on politeness, empathy, and informativeness, the project aims to benchmark LLMs' potential for diverse languages. The current work includes NLP for low-resource languages, and past achievements include Natural Language Generation for low-resource languages and a Transport-domain chatbot for Hindi-English queries, both at different Technology Readiness Levels (TRL).

Timeline & Budget:

Year 1: Project personnel (PhD, MTech) - INR 7 Lakhs, Equipment (Workstations) - INR 10 Lakhs, Travel and conference - INR 1 Lakh, Contingency - INR 1 Lakh (Total: INR 19 Lakhs)

Year 2: Project personnel - INR 7 Lakhs

Year 3: Project personnel - INR 7 Lakhs

Total Budget: INR 40 Lakhs

Proposer Details:

Dr. Maunendra Sankar Desarkar, Associate Professor, Department of CSE, and Head of the Department, Department of AI.