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Survey Report

A Comprehensive Survey on Automated Concept Extraction and Prerequisite Dependency Detection in Educational Texts

Automated extraction of concepts and detection of dependencies are important for analyzing educational texts and supporting applications like curriculum development, learning path suggestions, and intelligent tutoring systems. The aim of these tasks is to automatically extract key domain concepts from educational materials and find dependencies or prerequisites between them. Several approaches are put forward in recent studies, such as weakly supervised methods based on semantic embeddings and clustering, distant supervision techniques that make use of domain-specific glossaries, and supervised transformer-based models. Supervised models frequently exhibit high accuracy, but they rely significantly on large, manually labeled datasets. On the other hand, weakly and distantly supervised approaches drastically lower annotation costs, but they also face issues with seed quality, dictionary coverage, and cross-domain applicability. In order to guide future work in automated educational concept analysis, this study offers a thorough overview of current methods, frequently used datasets, assessment metrics, and recognized limits. It also addresses important issues and unresolved research gaps.

Published by: Aditi Patil, Riya Hankare, Shreya Araganji, Nidhi Chaudhari, Siddharth K. Gaikwad

Author: Aditi Patil

Paper ID: V12I2-1151

Paper Status: published

Published: March 16, 2026

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Research Paper

Performance and Musical System in Prahllad Nataka Tradition

Prahllad Nataka is a devotional musico-dramatic tradition of southern Odisha that integrates ritual invocation, narrative dramaturgy, classical music, and folk performance practices into a unified theatrical structure. This paper examines the performance grammar, character system, spatial organization, musical architecture, and aesthetic principles that define the form. Beginning with the ritual Mangalacharana/Nandigana and guided by the Sutradhara, the performance unfolds through a carefully structured dramatic progression centered on the conflict between Hiranyakashipu and Prahllad, culminating in the climactic manifestation of Narasimha. The study analyzes the interplay between major and minor characters, the incorporation of comic and didactic interludes, and the integration of tribal and folk performance elements within a predominantly rāga-based musical framework. The repertoire employs thirty-four rāgas and six tālas, reflecting a confluence of Carnatic and Hindustani classical traditions within a regional devotional theatre context. The spatial configuration—featuring a tiered wooden stage and symbolic pillar—reinforces the ritual symbolism central to the narrative. Costume and make-up practices exhibit strong affinities with South Indian classical theatre traditions such as Kathakali and Therukoothu, while maintaining localized Odishan elements. The sacred Narasimha mask functions simultaneously as theatrical property and ritual icon. Despite reductions in performance duration due to modern socio-cultural shifts, Prahllad Nataka continues to preserve its devotional intensity and aesthetic integrity, representing a living synthesis of classical dramaturgical principles and community-based ritual theatre.

Published by: Dr. Ajit Kumar Muni

Author: Dr. Ajit Kumar Muni

Paper ID: V12I2-1149

Paper Status: published

Published: March 16, 2026

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Research Paper

SentinelStore: A Zero-Knowledge, Fault-Tolerant Decentralized Storage Architecture Utilizing Shamir’s Secret Sharing and Kademlia DHT

As the digital ecosystem becomes increasingly reliant on centralized cloud infrastructure, the vulnerabilities associated with single points of failure, data sovereignty, and privacy intrusion have become critical bottlenecks. This paper introduces SentinelStore, a novel decentralized storage protocol designed to shift the trust boundary entirely to the client edge. Unlike traditional distributed systems that rely on full-file replication, SentinelStore implements a Zero-Knowledge Architecture by performing all cryptographic operations—key generation, authenticated encryption, and Shamir’s Secret Sharing (SSS)—directly within the user’s browser. This ensures that the storage network remains mathematically oblivious to the data it holds. We propose a hybrid storage model that utilizes a Kademlia-based Distributed Hash Table (DHT) for resilient shard distribution and a metadata coordinator for access control, without compromising the zero-trust principle. Furthermore, we introduce an innovative Dynamic Re-sharding Orchestration mechanism, allowing administrators to mathematically alter the fault-tolerance parameters of stored data without decrypting it or requiring client intervention. Experimental results demonstrate that this architecture achieves information-theoretic security and high availability with significantly lower storage overhead compared to traditional replication strategies.

Published by: Saketh Narkidimilli, Prudhvi Saranya Tatini, Sathvika Kollepara, Sandeep Peruri, Murala Sasidhar, Subhas Chette, Kiranmai Merum

Author: Saketh Narkidimilli

Paper ID: V12I2-1166

Paper Status: published

Published: March 16, 2026

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Research Paper

The correlation between salary and the performance of the NBA players

The salary of an NBA athlete depends on many factors like their performance, etc. And on the basis of that they are offered a contract. In this research paper I have examined all these factors, and on the basis of that I have created a calculator that predicts the salary of an NBA athlete when their performance data is entered. Next in the paper I have discussed what is the superstar effect and how it affects the salary of the players. I have also compared the statistics of different players to show how they contribute to their team on court.

Published by: Jayesh Sharma

Author: Jayesh Sharma

Paper ID: V12I2-1139

Paper Status: published

Published: March 14, 2026

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Research Paper

Financial Literacy of Rural Women in India

Financial literacy is a key aspect in the life of an individual. Today both men and women work at an equal level, but women in the rural areas of India are not given a lot of freedom in this field. For women in India, financial literacy is still falling behind. People tend to learn about financial management through experiences of their own and others. The role of females in every rural family should not be neglected. This paper studies the level of financial literacy across various rural districts in India, understanding the engagement of women in financial services, identifying the key challenges faced by them, and offering suggestions to improve the financial literacy of women and discussing policies introduced that help them.

Published by: Saachi Kanekar

Author: Saachi Kanekar

Paper ID: V12I2-1140

Paper Status: published

Published: March 14, 2026

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Research Paper

Integrating Artificial Intelligence in Modern Businesses

Artificial intelligence is rapidly growing across the world and becoming an irreplaceable asset to modern businesses and decision-making processes. This research paper examines and showcases the role of AI adoption in business. It shows how AI can help businesses grow by improving customer personalization, decision-making accuracy, efficiency, and analysis of large amounts of data. The paper delves into how artificial intelligence plays a crucial role in shaping the future of businesses by providing better ideas and innovation, while also looking at the privacy and ethical concerns and challenges faced in AI integration in businesses.

Published by: Ayushh Rao

Author: Ayushh Rao

Paper ID: V12I2-1145

Paper Status: published

Published: March 14, 2026

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