collaborators

6 papers

cs.CL2026

StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data

Akshat Parmar, Vikranth Udandarao, Abhay Shakya +4

StocksTalk is a voice-enabled conversational system for transforming spoken financial screening requests into executable and validated structured queries over real-world market dat…

cs.AI2026

KGCQual: An Interpretable Framework for Evaluating the Knowledge Graph Construction Quality from Text

Nipun Misra, Vikranth Udandarao, Aanchal Gupta +3

Knowledge Graphs (KGs) are increasingly constructed through automated extraction pipelines; however, such systems often introduce spurious or incomplete triples, which degrade down…

cs.SI2026

Trust-Aware Citation Cartel Ranking in Scholarly Knowledge Graphs

Pratyush Gupta, Vikranth Udandarao, Syam Sai Santosh Bandi

Citation-based systems usually treat each citation as an equal signal of scholarly influence, although citations can express very different relationships: direct method use, result…

cs.SE2025

Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs

Vikranth Udandarao, Nipun Misra

India's developer community faces significant barriers to sustained experimentation and learning with commercial Large Language Model (LLM) APIs, primarily due to economic and infr…

cs.LG2025

Food Delivery Time Prediction in Indian Cities Using Machine Learning Models

Ananya Garg, Mohmmad Ayaan, Swara Parekh +1

Accurate prediction of food delivery times significantly impacts customer satisfaction, operational efficiency, and profitability in food delivery services. However, existing studi…

cs.HC2025

Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning

Vikranth Udandarao, Noel Abraham Tiju, Muthuraj Vairamuthu +2

In this paper, we present Roamify, an Artificial Intelligence powered travel assistant that aims to ease the process of travel planning. We have tested and used multiple Large Lang…