Anurag Gupta

AI-Based Multi-Rounds Interview and Personalized Learning Path

Ambati Harshini, R. Naga Ganesh, N. V. Surendra Reddy, Anurag Gupta et autres

The Artificial Intelligence based interview system is a platform that improves the hiring process. It has phases such as tests to determine how intelligent you are, technical tests, and coding tests conversing about projects and meetings with the individuals in the human …

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APEX-SWE

Abhi Kottamasu, Chirag Mahapatra, Sam Yu-Te Lee, Ben Pan et autres

We introduce the AI Productivity Index for Software Engineering (APEX-SWE), a benchmark for assessing whether frontier AI models can execute economically valuable software engineering work. Unlike existing evaluations that focus on narrow, well-defined tasks, APEX-SWE assesses two novel task types that reflect …

#2694 Torque teno virus as an immunometer in kidney transplantation: a prospective observational study

Anil Kumar Bhalla, Akhilesh Jaiswal, Devinder Singh Rana, Ashwani Gupta et autres

Abstract Background and Aims Nonpathogenic Torque Teno Virus (TTV), a component of the human virome may serve for quantifying immune status in kidney transplant recipients. TTV load can rise dramatically in immunocompromised patients such as kidney transplant recipients. This study aims to …

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Democratising Credit Using Artificial Intelligence And Alternative Data

Anurag Gupta

Access to credit is essential for economic growth. Banks have traditionally served this role, providing credit to individuals and companies. However, significant proportions in both segments remain underserved, globally – small and medium-sized enterprises (SMEs), individuals with no or short credit histories …

Analyzing the Representation of Traditional Medicine in Multilingual Print Media

Anurag Gupta

Multi-Crop Disease Prediction Using Attention-Augmented Deep Learning: A DenseNet121-CBAM Model

Anurag Gupta, Amandeep Kaur

Plant health is essential for maintaining agricultural output and economic stability, as they are essential for supporting life and global economies. Diseases brought on by pathogens, such as insects, fungus, and bacteria, can severely impact plant health, emphasizing the significance of early …

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ABO-Incompatible Renal Allograft in a Patient with Multiple Myeloma - A Case Report

Yogita Sharma, Vaibhav Tiwari, Manish Malik, Nitin Gupta et autres

Kidney impairment is common in multiple myeloma (MM), often progressing to end-stage kidney disease (ESKD). Although kidney transplantation was traditionally contraindicated, advances in chemotherapy and transplant management have made it a viable option for select MM cases with sustained hematological remission. A …

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Exploring the Therapeutic Potential of Ashwagandha (Withania somnifera) in Alleviating Stress and Anxiety

PradeepKumar Prajapati, Govind P. Gupta, Devendra Singh Chahar, Harish Kumar Singhal et autres

Background: Stress is a known causative factor in modulating cognitive health, on which the overall well-being and quality of life are dependent. Long-term stress has shown to disrupt the balance of the hypothalamic–pituitary–adrenal (HPA) axis. Adaptogens, such as Withania somnifera (Ashwagandha), are …

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MedTutor: A Retrieval-Augmented LLM System for Case-Based Medical Education

Dongsuk Jang, Ziyao Shangguan, Kyle Tegtmeyer, Anurag Gupta et autres

Dongsuk Jang, Ziyao Shangguan, Kyle Tegtmeyer, Anurag Gupta, Jan T Czerminski, Sophie Chheang, Arman Cohan. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2025.

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LangBridge: Computational AI Solutions for Global Learning

Sarthak Johri, Anurag Gupta, V. Sivakumar

Linguistic diversity has been a longstanding barrier to accessing high quality education. LangBridge is an AI powered web based tool that addresses this challenge by enabling the translation of YouTube videos from one language to another. Utilizing state of the art technologies …

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A Deep reinforcement Learning Approach for Early Detection of tomato plant disease using CNNs and machine learning Techniques

Amit Kumar, Pongkit Ekvitayavetchanukul, Prashanth Donda, Anurag Gupta et autres

The present research attempts to improve tomato plant disease early detection strategies by using a variety of machine learning models, such as Recurrent Neural Networks (RNN), K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Convolutional Neural Networks (CNN). Using the special advantages …

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Non-Invasive Qualitative Vibration Analysis using Event Camera

Dwijay Bane, Anurag Gupta, Manan Suri

This technical report investigates the application of event-based vision sensors in non-invasive qualitative vibration analysis, with a particular focus on frequency measurement and motion magnification. Event cameras, with their high temporal resolution and dynamic range, offer promising capabilities for real-time structural assessment …