Offline Multimodal Medical Assistant
Healthcare accessibility in regions with limited internet connectivity remains a critical challenge, as traditional telemedicine solutions are heavily reliant on online infrastructure. This paper presents Viksith, an innovative offline multimodal medical assistant designed to provide medical guidance through speech, text, and image inputs without requiring internet access. Viksith employs resource-efficient algorithms, including locally optimized machine learning models and rule-based decisionmaking, to deliver accurate and timely medical support on low-power devices. The architecture ensures compatibility with resource-constrained environments, making it ideal for rural and underserved areas. Comprehensive testing and pilot deployments demonstrate Viksith’s high performance in recognizing symptoms, analyzing visual inputs, and generating actionable medical insights. This paper provides a detailed exploration of Viksith’s design, implementation, and evaluation, positioning it as a scalable solution for bridging healthcare gaps in offline scenarios.
Published by: Priyanka Waghmare, Prathamesh Kulkarni, Aditya Pranekar
Author: Priyanka Waghmare
Paper ID: V11I2-1156
Paper Status: retracted
Submitted: April 15, 2025
Marine Pollution & Implementation of Regulations
The Global Environment Report on the Rule of Law, published by UNEP, emphasizes that inadequate enforcement of existing environmental laws and regulations is a significant barrier to preventing environmental degradation. Despite the existence of international legal frameworks to address and manage marine plastic pollution, they are frequently weakened by inconsistent enforcement and a lack of accountability. Consequently, these laws are not applied uniformly across nations, undermining their effectiveness in mitigating marine pollution. The lack of specific regional guidelines leaves countries to establish their standards, creating a disjointed and varied response to the issue. Many neighboring nations focus on enhancing their solid waste collection and management systems to combat marine plastic pollution. However, improving waste management infrastructure requires substantial financial investment, a considerable challenge for many low and middle-income countries. In this context, regional collaboration provides more benefits than multilateral agreements or bilateral pacts. Although global initiatives engage a broader range of stakeholders, countries' varying levels of commitment and capacity frequently hinder prompt collective action. Conversely, while bilateral agreements are simpler to negotiate, they have a limited scope and are less effective in addressing the cross-border nature of marine plastic pollution. As a result, regional cooperation emerges as a more practical solution because it reflects shared interests, considers geographical and political contexts, and enables customized strategies that meet the unique needs and priorities of the region.
Published by: Laranya Sharma, Prof. Arun D Raj
Author: Laranya Sharma
Paper ID: V11I2-1165
Paper Status: published
Published: April 14, 2025
Rehabilitation and Retrofitting of the Rajabai Clock Tower
The Rajabai Clock Tower, an iconic Gothic Revival structure in Mumbai, has stood as a cultural and architectural landmark since its completion in 1878. Over the years, factors such as weathering, pollution, material aging, and structural stress have led to deterioration, necessitating a comprehensive rehabilitation and retrofitting strategy to preserve its historical and structural integrity. This study focuses on assessing the structural condition of the tower using non-destructive testing (NDT) techniques, such as ultrasonic pulse velocity, rebound hammer tests, and thermal imaging. A detailed damage assessment was conducted to identify material degradation, cracks, moisture infiltration, and foundation settlement. Computational finite element analysis (FEA) was also used to evaluate load distribution and stress concentrations. The rehabilitation approach involves restoration of damaged stonework, stained glass panels, and intricate carvings using compatible materials. Retrofitting techniques include micro-jacketing, crack injection, fiber-reinforced polymer (FRP) reinforcement, and waterproofing to enhance the tower’s structural resilience while maintaining its original aesthetics. Advanced conservation methodologies ensure that modifications blend seamlessly with the existing heritage fabric. By implementing a sustainable and minimally invasive retrofitting approach, this project ensures that the Rajabai Clock Tower remains a historically preserved and structurally sound landmark for future generations. This research serves as a case study for heritage conservation, demonstrating a balance between architectural restoration and modern engineering solutions.
Published by: Muktesh Hemanta Patil, Aakash Kedar Chauhan, Sujal Arwel, Suraj Surve
Author: Muktesh Hemanta Patil
Paper ID: V11I2-1183
Paper Status: published
Published: April 14, 2025
Real-Time Fire Detection and Automated Vendor Alert System
Advancements in artificial intelligence (AI) have significantly improved environmental monitoring and safety measures, particularly in fire detection systems. Early fire detection is critical for minimizing response time and mitigating potential damage. Traditional sensor-based fire detection methods face limitations related to range, environmental conditions, and false alarms. In contrast, deep learning-based object detection models, such as the You Only Look Once (YOLO) architecture, enable accurate and efficient fire detection using video and image data. This study explores the capabilities of the latest YOLO version, YOLOv8, for real-time fire detection. YOLOv8’s lightweight architecture, coupled with its ability to process high-resolution images with minimal latency, makes it a suitable choice for real-world applications. The system detects flame and smoke patterns in video streams or images and provides timely alerts to facilitate faster responses. Key improvements in YOLOv8 include enhanced detection speed, increased accuracy, and reduced computational complexity, making it particularly effective in remote or hard-to-monitor areas such as forests, industrial zones, and residential spaces. The system is trained on a comprehensive dataset encompassing diverse fire scenarios to reduce false positives and improve its ability to differentiate fire from non-fire elements. Expected outcomes include reliable real-time fire detection, scalability across various environments, and robust performance under varying conditions.
Published by: Jesu Vimal Austin R
Author: Jesu Vimal Austin R
Paper ID: V10I6-1526
Paper Status: published
Published: April 14, 2025
Implementation of reflective programming in .NET
Programming languages are evolving very fast, but their principles are almost the same. There are two main concepts about the writing process of software, Closed Code and Open-Source Software. Most developers prefer to have the source code of the software developed by other developers so they can understand, read, and change the product very easily. Even when a product is an open source, the number of developers who modify the product is very low compared to the number of users who use the product. In this paper we will present an implementation of reflective programming in .NET to allow other developers to extend the capabilities of a product with their contributions on writing source code even if the project is not open source.
Published by: Hakik Paci, Dorian Minarolli, Nelda Kote
Author: Hakik Paci
Paper ID: V11I1-1518
Paper Status: published
Published: April 12, 2025
LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication
LogiX is a next-generation authentication and security framework designed to withstand emerging cybersecurity threats, including those posed by quantum computing. The system integrates Post-Quantum Cryptographic Algorithms such as Kyber for Key Exchange, Dilithium for Digital Signatures, and NTRU For Encryption To Ensure Robust Data Protection. Additionally, Advanced AI-driven techniques are Employed for Anomaly Detection, Credential Sharing Analysis, Adaptive Multi-Factor Authentication (MFA), and Phishing De-Detection. By leveraging secure authentication protocols, quantum-resistant cryptographic standards, and intelligent monitoring systems, LogiX provides a comprehensive security solution that mitigates risks associated with traditional and quantum-era cyber threats. This documentation outlines the foundational principles, methodologies, and implementation strategies used to fortify authentication mechanisms and protect sensitive user data in cloud-based environments.
Published by: Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu
Author: Dr. M.K. Jayanthi Kannan
Paper ID: V11I1-1558
Paper Status: published
Published: April 12, 2025
