Authors: Pavan Patel, Rahul Kumar Satbhaiya

 

Abstract: In a densely populated and rapidly urbanizing country like India, the construction of multistorey buildings is essential to meet increasing housing and infrastructure demands. These structures are often subjected to lateral forces, which act horizontally and can significantly affect their performance. Such forces primarily include wind loads and seismic activity, both of which can cause structural deflection, instability, or even failure if not adequately addressed. To ensure buildings can withstand these lateral effects, advanced structural analysis tools like ETABS are employed. ETABS is a comprehensive software used for modeling, analysis, and design of buildings in compliance with national and international codes. It provides accurate simulations of how structures respond to various loading conditions, making it ideal for evaluating complex buildings. Hybrid structural systems, which combine different construction materials, are gaining popularity for enhancing structural performance. One common and effective hybrid combination is steel and concrete, which leverages the tensile strength of steel and the compressive strength of concrete. Steel is especially favoured for its high load-carrying capacity and fast construction capabilities, and when integrated with other materials such as timber or ferrocement, it helps overcome limitations inherent to individual materials. This study investigates a G+7 storey steel-timber hybrid building reinforced with ferroconcrete (wire mesh embedded in concrete). A three-dimensional static analysis is performed using ETABS to assess the building’s structural behavior. The study focuses on key parameters such as maximum nodal displacement, bending moment, shear force, axial force, and storey drift to evaluate the effectiveness of the hybrid system under lateral loading conditions

DOI: https://doi.org/10.5281/zenodo.16595886

 

Published by: vikaspatanker

Authors: Pavan Patel, Rahul Kumar Satbhaiya

Abstract: This paper reviews the structural evaluation of tall buildings using Ferro concrete (reinforced concrete) and steel-timber hybrid systems under lateral loads, emphasizing seismic and wind forces. With the growing need for sustainable and high-performance building materials, steel-timber hybrids present a viable alternative to conventional RCC systems. Using insights from past research and simulation tools like ETABS, the study analyses lateral load performance, energy dissipation, environmental benefits. The review highlights key developments, identifies research gaps, and suggests future directions for adopting hybrid systems in Indian structural design

 

 

Published by: vikaspatanker

Authors: Vaidehi Rajkumar, Ar. Dilip Jade, Ar. Gulfam Shaikh

Abstract: Children with Autism Spectrum Disorder (ASD) face a wide range of sensory, behavioural, and social challenges that deeply influence how they experience school. Most traditional learning environments do not meet their specific needs, which can lead to anxiety, sensory overload, and difficulties with learning and socialization. This paper discusses practical design strategies that can make schools more inclusive and supportive for children with ASD. By focusing on sensory-friendly spaces, clear layouts, flexible areas, and safe opportunities for social interaction, we can create environments that help students feel more comfortable and engaged. Drawing from research and global case studies, this paper highlights the importance of thoughtful, adaptable, and human-cantered design in supporting the development of autistic students

DOI: http://doi.org/10.5281/zenodo.16444282

 

 

Published by: vikaspatanker

Authors: Prathibhavani P M, Pragathi S

Abstract: We propose a Custom GPT System that allows domain-specific adaptation of a large language model through a flexible, modular pipeline. The system uses a Python Flask REST API as the backend server, facilitating a microservices-style deployment of core components. A high performance Groq API endpoint executes inference on Meta’s LLaMA 3 model (available in 8B and 70B parameter sizes) to generate responses. Crucially, our pipeline integrates a Retrieval Augmented Generation (RAG) stage: incoming queries trigger semantic retrieval from a vector store of domain documents, and the returned context is combined with the user prompt to guide generation. Prompts and model settings are parameterized via human-readable YAML configuration files, enabling easy customization of system behaviour and personality. This architecture can be applied to sectors like healthcare, education, and customer support by supplying relevant documents and prompt templates. We describe the system architecture (see Fig. 1), implementation details, and an API-based deployment strategy. In evaluation, the Groq-accelerated LLaMA 3 achieves up to 18× throughput improvements versus a GPU baseline, and the RAG component markedly reduces hallucinations by grounding output in up-to-date knowledge.

DOI: http://doi.org/10.5281/zenodo.16444282

 

 

Published by: vikaspatanker

Authors: Ms. Sonia, Mr. Aditya Goel, Mr. Aneek Kumar, Mr. Kushagra, Ms. Chandni Kumari

Abstract: – This paper presented the development of a Smart Mirror, a device that integrates real- time information display with everyday utility. Designed by college students, the Smart Mirror was built entirely using Python libraries and provided functionalities such as news feeds, weather updates, calendar events, reminders, and basic time and date display. The project emphasized software development using Python and various APIs to create an interactive and user- friendly interface. The Smart Mirror aims to enhance daily routines by reducing the need for multiple devices while maintaining simplicity and efficiency.

DOI: http://doi.org/10.5281/zenodo.16608809

Published by: vikaspatanker

Authors: Dr. Saumendra Mohanty

Abstract: – Food wastage contributes significantly to global environmental degradation and economic inefficiencies, particularly in developing countries. This study investigates the trend and forecast of per capita food wastage in Nepal using a simple Linear Regression model applied to UNEP and FAO datasets (2015–2021). The findings assess the nation’s trajectory against the Sustainable Development Goal (SDG) 12.3, which aims to halve food waste by 2030. The analysis reveals that Nepal is not on track to meet this target unless intervention strategies are urgently adopted. We also discuss the potential of data-driven policymaking to guide national sustainability

Published by: vikaspatanker

Authors: Aliya Fulara

Abstract: Biophilic design is a powerful architectural and psychological approach that reconnects humans with nature. This study investigates the impact of biophilic elements in rehabilitation environments, particularly in centers aimed at treating various forms of addiction and psychological stress. Through the integration of natural materials, daylight, vegetation, water features, and views of nature, biophilic design can significantly improve patient recovery rates, reduce stress, and enhance emotional well-being. The paper explores how spatial design rooted in biophilic principles—such as natural ventilation, organic forms, and immersive landscapes—can promote healing. It also examines case studies and concludes with recommendations for designing restorative spaces that prioritize the human-nature connection. This research aims to guide architects, planners, and healthcare professionals in creating rehabilitation spaces that truly support holistic recovery. It explores global examples and proposes strategies to integrate these principles in future rehabilitation architecture. The results affirm the positive impact of nature on healing, mental restoration, and long-term patient engagement.

 

Published by: vikaspatanker

Authors: Sakshi Gajanan Jayale, Jayant Ingole, Saiyam.S. Chaturvedi, Saiyam.S. Chaturvedi, Dr. Sudhir V. Dhomane, Dr. P. V. Thorat

Abstract: In the wake of escalating climate change and environmental degradation, green building technologies have emerged as essential strategies in sustainable development. This seminar explores the relationship between built environments and the natural ecosystem, emphasizing the pivotal role of buildings in energy consumption, carbon emissions, and global warming. The study categorizes green technologies that enhance energy efficiency, occupant comfort, and environmental performance through passive and active systems such as thermal mass utilization, natural ventilation, stack effect, daylighting, and high-performance glazing. It also underlines adaptive strategies to respond to climate projections using mitigation and resilience-based approaches. The report introduces a structured methodology for integrating these technologies into new and existing buildings, highlighting key principles like integrated design, responsive planning, performance benchmarking, and climate adaptation. By bridging theoretical frameworks with practical design applications, this research reinforces the potential of green building strategies to minimize ecological footprints while ensuring productivity, health, and comfort within the built environment.

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Published by: vikaspatanker

Authors: Sharyu Chinchole

Abstract: As climate change continues to reshape coastlines and alter ecosystems, architecture stands at a crossroads—between crisis and creativity. This research explores the architectural response to rising sea levels through the lens of adaptive overwater villas. Traditionally associated with luxury, overwater villas are reimagined here as resilient, climate-responsive habitats that float, adapt, investigates and endure. The study floating systems, modular strategies, sustainable design tools, and precedents from across the globe, aiming to develop a contextual, feasible solution for future-ready living. The final proposition blends engineering and environmentalism into a design that is not only functional but poetic—an architecture that floats with the planet, not against it.

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Published by: vikaspatanker

Authors: Shreyash Akole, Mansi Rakhonde, Saish Desai

Abstract: The rapid growth of online news and digital media has significantly impacted financial markets, where even a single headline can influence investor behavior. With this increasing dependence on news, ensuring the authenticity and sentiment of financial information has become more important than ever. This research presents a dual-purpose system that combines stock market news sentiment analysis with fake news detection. Our model aims to solve this by using Natural Language Processing (NLP) techniques and Machine Learning (ML) algorithms to analyze financial news, detect fake information, and suggest investment actions such as Buy, Sell, or Hold. This system uses Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM) models for sentiment and authenticity analysis, ensuring reliability and accuracy. The framework empowers traders, investors, and institutions to make smarter, safer financial decisions by combining sentiment analysis and fake news detection into a single platform. Most systems only do either sentiment analysis or fake news detection. Our system does both in one place, making it more reliable. It reached 93% accuracy in sentiment analysis and 96% in fake news detection, helping users make better and safer financial decisions.

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Published by: vikaspatanker