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Design and Analysis of a Smart Drainage Alert System Using IoT Sensors

In the past years, urban flooding due to clogged drains has been a persistent problem in many Indian cities. Even well-planned areas like Gurugram that lie in the NCR region faced extreme waterlogging during monsoons. This research presents a low-cost Smart Drainage Alert System that uses IoT sensors to monitor water levels and detect possible blockages. The proposed model uses an ultrasonic sensor to detect rising water levels, connected to a microcontroller and cloud platform for live data tracking. When the water levels exceed a set threshold limit, the system sends an alert to the user via a mobile application. A small-scale prototype demonstrates that IoT-based monitoring can provide affordable, effective drainage management for communities.

Published by: Shubh Agarwal

Author: Shubh Agarwal

Paper ID: V11I5-1254

Paper Status: published

Published: November 4, 2025

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Research Paper

SmartRentConnect

Managing rental properties in urban areas can be challenging due to the complexities of multiple systems and paperwork. SmartRentConnect addresses these issues with a comprehensive web application that streamlines rental management. Tenants can easily search and book properties, pay rent, submit complaints, and create guest passes, all while receiving automated reminders. Property owners can manage listings, track payments, and generate revenue reports, while administrators monitor activities and generate insights. Security is enhanced through QR code verification for guest passes. Built with modern technologies like React [10] with TypeScript and Tailwind CSS for the frontend, and Spring Boot for the backend, SmartRentConnect also integrates Razorpay for payments, Google Maps API for property searches, and jsPDF for documentation. With features like user authentication, role-specific dashboards, and automated notifications, SmartRentConnect improves communication, efficiency, and reliability in rental management.

Published by: Vaidehi Kulkarni, Asawari Bhalerao, Dhiraj Chaudhary, Martand Deshmukh, Vishnu Bansode

Author: Vaidehi Kulkarni

Paper ID: V11I5-1266

Paper Status: published

Published: November 4, 2025

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Research Paper

Exchange Rate Volatility and Its Impact on Bilateral Trade and Economic Stability: A Comparative Analysis of India and China

This paper examines exchange-rate volatility in India and China from 2010–2024 and evaluates its implications for bilateral trade and economic stability. While extensive research exists on exchange-rate dynamics in individual emerging economies, limited comparative analysis has been conducted on the asymmetric volatility between the Indian rupee (INR) and the Chinese yuan (CNY), and its effects on India–China trade relations. Using quarterly data on INR/USD, CNY/USD and INR/CNY exchange rates, combined with GDP, inflation and trade indicators, this study compares volatility patterns and investigates how major global shocks influence the two currencies differently. The analysis shows that India’s flexible exchange-rate regime produces consistently higher volatility, especially during periods of international financial stress, whereas China’s managed-float framework ensures greater currency stability. These asymmetries have tangible economic implications: heightened INR volatility undermines India’s export competitiveness, increases import costs, and contributes to a widening trade deficit, while China’s stable currency environment supports predictable pricing and resilient trade flows. The study concludes that managing exchange-rate volatility is essential for enhancing India’s competitiveness and economic stability in its trade relationship with China.

Published by: Ishanvi Goel

Author: Ishanvi Goel

Paper ID: V11I5-1272

Paper Status: published

Published: November 4, 2025

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Research Paper

Exploring the Future Career Potential of Blender 3D as a Professional Tool

We examine an open source 3D set of tools called Blender, as a powerful tool for concept design and the many ways it can be used as a career, with main uses being through game design, architecture and design for the film industry. This paper also talks about the traditional methods of animation and how Blender has improved them. The unique features of Blender are examined in terms of ease of use and integrated nature, since Blender incorporates a simulation engine and a game engine that can be used creatively in the design process. The unique data structure of Blender is examined with the features and workflow that this structure brings to the design process. Also, a simple comparison is made between Blender and 3D Max in terms of features and workflow as visualisation tools.

Published by: Viraj Ghai

Author: Viraj Ghai

Paper ID: V11I5-1226

Paper Status: published

Published: November 2, 2025

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Research Paper

Insilico Screening of Bioactive Compounds Derived from Catharanthus Roseus against Anticancer Activity

One of the most prevalent diseases in the world is cancer. In order to stop cancer from growing, developing, and spreading, cancer treatments still need to be carefully planned and targeted. Radiation, cellular stress, and cytotoxic medications are some of the triggers that activate the mitochondrial intrinsic apoptotic pathway. Native to the Mediterranean region, Vinca roseus is a blooming perennial plant that is primarily found in the northern hemisphere. They are native to tropical regions in South Asia. There are numerous uses for the Madagascar plant, Catharanthus roseus L. The 3D crystallographic structure of the Anti-cancer receptor (PDB ID-2KCE & 2HBS ) was obtained from the Protein Data Bank and utilized as a protein target for in-silico experiments. Molecular docking was performed using Auto Dock 4 and Auto Dock Vina. A blind docking approach was employed to encompass all possible ligand binding sites. The binding free energy (kcal/mol) was utilized to calculate the binding affinity. This study reveals that Catharanthus roseus, a polyphenolic compound, may possess antioxidant, antibacterial, antifungal,&anticancer activity against the Anti-cancer receptor responsible for cancer disease, as predicted in silico. Molecular docking data suggest that Vincristine(-7.1& -9.5 Kcal/mol) and Vindesine (-9.1 & -10.5 Kcal/mol) have greater activity than Vincristine. They have good Anticancer properties. & The best protein was found to be 2HBS for Anti-cancer activity.

Published by: Rohan Anil Mali, Ranjit Jadhav, Sarika Kumbhar, Anushka Nikam

Author: Rohan Anil Mali

Paper ID: V11I5-1271

Paper Status: published

Published: November 1, 2025

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Research Paper

The Digital Catalyst for India’s Green Transition: Applying AI-Driven Recommender Systems and Natural Language Processing to Enhance Sustainable Supply Chains in Tier 2 MSMEs

This paper proposes an AI-driven marketplace that leverages Natural Language Processing (NLP), Document Intelligence, and Learning-to-Rank (LTR) models to resolve market frictions of discovery, trust, and compliance. NLP structures fragmented product data, while document AI verifies sustainability claims aligned with frameworks like BRSR, EPR, and MSME ZED certification. LTR algorithms prioritise verified green suppliers, incentivising sustainable practices. The platform also ensures inclusivity through cross-lingual conversational agents, fairness audits, and interoperability via ONDC. By enabling verifiable “green matching,” the system supports corporate Scope 3 emission reductions while advancing SDGs. The research demonstrates how AI marketplaces can serve as digital infrastructure for climate resilience and inclusive economic growth in India’s green transition.

Published by: Purab Swarup

Author: Purab Swarup

Paper ID: V11I5-1251

Paper Status: published

Published: October 31, 2025

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