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Research Paper

Predictive Crop Yield Modeling with AI and IoT for Efficient Supply Chain Management

Efficient supply chain management is critical for improving the profitability and sustainability of agricultural produce in Punjab, India. Traditional systems often suffer from inefficiencies such as post-harvest losses, poor market linkages, and lack of real-time information flow. Artificial Intelligence (AI) and Internet of Things (IoT) technologies provide opportunities to optimize these processes by enabling predictive analytics, real-time monitoring, and smart decision-making.

Published by: Jairaj Sander, Dr Sikander Singh

Author: Jairaj Sander

Paper ID: V11I4-1222

Paper Status: published

Published: August 26, 2025

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Research Paper

Optimal Material Selection for Injection Moulding Die

Choosing the right material for making injection molding dies is very important, as it affects how well the mold performs, how long it lasts, and how much it costs to maintain. Since the die goes through high pressure and temperature again and again during each molding cycle, it must be made of strong materials that can handle heat, resist wear, and stay dimensionally stable. In this study, I looked into the important factors to consider while selecting the die material, like mold life, how easy it is to machine, resistance to corrosion, and how well it works with different types of plastic. Some commonly used materials like P20 tool steel, H13 tool steel, and beryllium copper alloys are compared based on their properties and usage. I have also included details about special coatings and surface treatments that improve the life and performance of these materials. Overall, with proper material selection based on both technical and cost aspects, manufacturers can improve efficiency, reduce downtime, and increase the lifespan of injection molds.

Published by: Shyam K S, Sivathiruthani S, Sreeharan B N

Author: Shyam K S

Paper ID: V11I4-1208

Paper Status: published

Published: August 26, 2025

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Research Paper

Unregulated Chit Funds in India: Risks, Loopholes, and the Need for Policy Reform

Chit funds, a conventional and prevalent financial mechanism in India, remain crucial in facilitating access to savings and credit, particularly for low-income people and in areas with inadequate formal banking infrastructure. Despite being governed by the Chit Funds Act of 1982, there is no single pan-Indian regulatory authority, and implementation and monitoring are still dispersed throughout the states. The growth of unregistered and informal chit funds, many of which function without accountability or transparency, has been made possible by this decentralisation. Driven by persuasive agents and trust-based networks, social engineering frequently persuades people to engage in chit schemes without fully comprehending the hazards, especially in rural and semi-urban settings. The interest rates in chit funds, especially for early bidders, are often not economically feasible in the long term, resembling high-cost borrowing rather than profitable investments. Moreover, the returns are variable and contingent upon bidding dynamics and member defaults, exposing participants to systemic risks. Despite their popularity, financial literacy surrounding chit funds remains low at the grassroots level, leading to poor decision-making and increased vulnerability to fraud. This paper explores how the interplay of weak regulation, social trust networks, and limited financial awareness perpetuates the risks within the chit fund ecosystem, emphasising the urgent need for stronger national oversight and grassroots-level financial education.

Published by: Aquin Manuvel

Author: Aquin Manuvel

Paper ID: V11I4-1218

Paper Status: published

Published: August 19, 2025

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Research Paper

Artificial Intelligence in Aviation: Enhancing Efficiency, Safety, and Sustainability

The aviation industry globally is bogged down by punctuality, cost pressure, customer satisfaction, safety & reliability. The continued growth of this industry requires solutions that optimize flight performance, bring down operating costs, maintains safety and meets customer satisfaction. This paper explores the application of AI in optimizing routing, predictive maintenance, simulating real-life situations for training, passenger experience, and its role in the current and future of the aviation industry.

Published by: Pranshul Saroop

Author: Pranshul Saroop

Paper ID: V11I4-1165

Paper Status: published

Published: August 19, 2025

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Research Paper

AI-Enabled Forest Fire Detection and Automated Response Systems: An Integrated Technological Solution for Early Suppression and Biodiversity Protection

Forest fires have long been a significant threat to ecosystems, biodiversity, and climate stability around the world. The increasing scale and severity of these events, exacerbated by climate change, highlight the need for advanced prevention and response systems. Traditional manual firefighting measures are often delayed, leading to catastrophic outcomes. This paper proposes an original AI-enabled fire response system that combines in-forest sensor networks with automated water or fire extinguishing solutions, aiming for rapid, localized response. Employing smoke sensors and machine learning algorithms, the system detects early fire signs and instantaneously activates localized suppression mechanisms to prevent spread. This research addresses the design, operation, and potential effectiveness of such a system, drawing on literature, technological assessments, and simulations. The findings suggest that AI-driven integrated systems can dramatically enhance early fire suppression and lessen environmental, economic, and health impacts.

Published by: Divyanshi Gupta

Author: Divyanshi Gupta

Paper ID: V11I4-1219

Paper Status: published

Published: August 19, 2025

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Review Paper

Overview of the Use of Hydrogen Fuel Cells in the Maritime Sector

Abstract The maritime industry, responsible for 80% of all global trade and 3% of all greenhouse gas emissions, has been aiming for decarbonization for decades. With the International Maritime Organisation (IMO) aiming for net-zero carbon emissions by 2050, the implementation of the use of eco-friendly fuel and technologies has fast established itself as a priority. Hydrogen fuel cells, a new technology facing research and development, are one such alternative fuel source that has zero-carbon emissions. This paper presents a technological overview of the types of hydrogen fuel cells, the ship structural requirements for their storage and transport, the challenges associated with implementing this technology, and examples of ships currently using hydrogen fuel cells. Also provided is an in-depth analysis of hydrogen fuel cells with alternative fuels like ammonia and biofuel and with fossil fuels like heavy fuel oil (HFO) and liquified natural gas (LNG).

Published by: Jahnavi Sharma

Author: Jahnavi Sharma

Paper ID: V11I4-1215

Paper Status: published

Published: August 19, 2025

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