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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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Research Paper

Factors Influencing Depression in Teenagers

This research paper explores depression among high school students and its impact on their mental well-being and academic experiences. It examines how adolescent depression is influenced by multiple interconnected factors, including family environment, school pressure, peer relationships, psychological characteristics, biological vulnerability, and cultural and societal influences. The paper highlights the importance of understanding depression within school settings and emphasizes the need for supportive environments, early awareness, and combined efforts from schools, families, and communities to promote adolescent mental health.

Published by: Monisha Dangeti

Author: Monisha Dangeti

Paper ID: V12I2-1146

Paper Status: published

Published: March 14, 2026

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Research Paper

Groundwater Recharge through Permeable Pavement

Rapid urbanization has led to increased impervious surfaces such as conventional concrete and asphalt pavements, which prevent natural infiltration of rainwater into the ground. This results in groundwater depletion, surface runoff, and urban flooding. Permeable pavement is an innovative and sustainable solution that allows rainwater to pass through its surface and infiltrate into the underlying soil layers, thereby recharging groundwater. This paper studies the concept, working mechanism, components, and benefits of groundwater recharge through permeable pavements. The study highlights how permeable pavements can reduce runoff, improve water quality, and support sustainable urban water management. A simple model is also proposed to demonstrate the working of permeable pavement systems. This paper presents a detailed study on the concept, components, and working mechanism of groundwater recharge through permeable pavements. The benefits of this system, including runoff reduction, water quality improvement, and sustainable urban water management, are discussed. Additionally, a simple physical model is proposed to demonstrate the functioning of permeable pavement systems for educational and practical understanding.

Published by: Karan R Varadkar, Mayuresh Sawant, Advait Naik, Saksham Patil, Sagar Mungase

Author: Karan R Varadkar

Paper ID: V12I2-1153

Paper Status: published

Published: March 14, 2026

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Research Paper

Use of Bamboo as Reinforcement Material

Access to hygienic sanitation facilities remains a major challenge in developing nations, particularly in rural areas, slums, and temporary settlements. Conventional toilets require permanent construction, high costs, and long installation time, making them unsuitable for rapid deployment. This paper presents the design and development of a ferrocement detachable toilet unit as a cost-effective, durable, and portable sanitation solution. The unit is fabricated using thin ferrocement panels reinforced with wire mesh, which are lightweight yet strong. The system is designed for easy assembly, disassembly, and relocation, making it highly suitable for construction sites, disaster relief camps, and rural sanitation programs. The study highlights the design methodology, material selection, structural performance, cost-effectiveness, and future applications of this innovation.

Published by: Yogesh Balasaheb Kamble, Prathamesh Kamble, Gaurav Ahire, Bhushan Ghodeswar, Suraj Surve

Author: Yogesh Balasaheb Kamble

Paper ID: V12I2-1155

Paper Status: published

Published: March 14, 2026

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Research Paper

Ferrocement Detachable Toilet Unit

The lack of hygienic sanitation facilities remains a major concern in rural, urban slum, and temporary settlement areas. Conventional toilet structures constructed using brick masonry or reinforced cement concrete are expensive, time- consuming, and not suitable for relocation. This paper presents the design and development of a ferrocement detachable toilet unit as a low-cost, durable, and portable sanitation solution. Ferrocement panels reinforced with wire mesh are used to achieve high strength with reduced thickness and weight. The detachable design allows easy transportation, assembly, dismantling, and reuse of the unit. The paper discusses materials used, construction methodology, advantages, limitations, cost estimation, and potential applications. The proposed system supports sustainable sanitation practices and is suitable for rural development and emergency applications.

Published by: Hriday S. Sawant, Rugved M. Purkar, Vedant J. Vishe, Piyush M. Shinde, Sagar Mungase

Author: Hriday S. Sawant

Paper ID: V12I2-1157

Paper Status: published

Published: March 14, 2026

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Research Paper

AI-Based Video Clip Identifier for Movies and Streaming Platforms

With the rapid growth of movies and over-the-top (OTT) streaming platforms, managing and identifying video clips efficiently has become a challenging task. Traditional video identification systems rely on manual tagging and metadata-based search techniques, which are time-consuming and often inaccurate. This paper presents an AI-based video clip identifier that automatically recognizes and identifies video clips from movies and streaming platforms using machine learning and deep learning techniques. The proposed system extracts video frames, analyzes audio-visual features, and applies convolutional neural networks to accurately match and identify video clips.

Published by: Amirtham.K, Vennila. G

Author: Amirtham.K

Paper ID: V12I1-1152

Paper Status: published

Published: March 13, 2026

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