Daily Archives: April 21, 2026

Authors: Sunkara Sravallika, Banala Sai Revanth, Madasi Hema, M Efraiem, Bharat Tank

Abstract: The main focus of this project is to develop an intelligent, user-friendly portfolio generation platform and examine the effectiveness of template recommendations using machine learning techniques during the development and deployment phases. To carry out this project, two stages are considered — the frontend/template development phase and the backend/ML integration phase — with the completion of the frontend serving as the baseline milestone. The frontend/template phase covers the design and implementation of interactive UI components, template layouts, and live preview functionality, whereas the backend/ML phase covers API development, data handling, template recommendation algorithms, and export functionalities. The completed system uses data provided by users — including skills, education, experience, and achievements — as the sample input for generating customized portfolios. A recommendation engine, employing embedding-based similarity search and rule-based heuristics, is integrated to suggest templates best suited to the user’s industry and expertise. System evaluation considers performance metrics such as recommendation accuracy, export reliability, and user experience responsiveness as control variables. Findings from internal testing indicate that the frontend design and predefined templates significantly improve the user’s ability to customize portfolios efficiently during the pre-integration phase. In the post-integration phase, it is observed that the machine learning model enhances personalization, while backend optimizations ensure reliable export. In terms of system-specific factors, it is found that a clean template structure and low-latency API responses improve usability and adoption rates.

Published by: vikaspatanker

Authors: Darshankumar Patel

Abstract: The Indian wedding and event planning industry, valued at over INR 3 lakh crore annually, remains largely fragmented and dependent on manual processes. This paper presents Happenings and Happiness, a comprehensive dual-role Android application that digitizes the complete wedding planning lifecycle for both event organizers and service vendors. The system integrates Firebase Firestore for real-time data synchronization, Firebase Cloud Messaging (FCM) V1 API with JWT-based OAuth2 authentication for push notifications, RazorPay payment gateway for secure transaction processing, and Cloudinary for cloud-based media management. The application implements real-time bidirectional chat, vendor discovery and booking management, guest list management, budget tracking, and an earnings analytics dashboard. The dual-role architecture supports seamless interaction between users and vendors within a single application while maintaining strict role-based data access through Firestore security rules. Performance evaluation demonstrates sub-second message delivery in real-time chat, reliable push notification delivery across both user roles, and consistent UI performance across Android 10–14 devices. The system addresses critical gaps in existing wedding planning applications by providing an end-to-end digital solution tailored for the Indian market.

Published by: vikaspatanker

Authors: Abubakar Umar Hamza

Abstract: The rapid advancement of artificial intelligence (AI), particularly deep learning and large-scale neural networks, has created significant demand for high-performance and energy-efficient computing architectures. Conventional electronic processors such as GPUs and TPUs are increasingly constrained by power consumption, memory bandwidth limitations, and data movement bottlenecks. In response, photonic neural networks and optical AI accelerators have emerged as promising alternatives that exploit the properties of light to perform computation at high speed and low energy consumption. This paper presents a comprehensive systematic narrative review of photonic neural networks and optical AI accelerators, focusing on their architectures, material platforms, and key engineering challenges. The methodology employed involves structured literature collection from recent peer-reviewed studies, thematic classification of photonic architectures (including Mach–Zehnder interferometer meshes, microring resonator networks, and diffractive optical systems), and comparative analysis of material platforms and performance metrics such as energy efficiency, scalability, and computational latency. The results of the review indicate that photonic systems offer significant advantages over electronic computing, particularly in terms of energy per multiply–accumulate operation (femtojoule-level), ultra-high bandwidth (terahertz range), and low-latency computation. However, practical deployment remains limited by challenges in scalability, fabrication variability, noise sensitivity, and the lack of efficient optical training mechanisms. The analysis further shows that hybrid photonic–electronic architectures currently represent the most viable pathway toward near-term implementation, while heterogeneous material integration is essential for achieving fully functional photonic AI systems. The contribution of this research lies in providing a structured and critical synthesis of recent advancements in photonic AI hardware, identifying key technological bottlenecks, and outlining future research directions toward scalable and commercially viable optical computing systems. This work serves as a reference framework for researchers working at the intersection of photonics, electronics, and artificial intelligence.

DOI: https://doi.org/10.5281/zenodo.19686160

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Authors: E Umachandrika, Dr L Sangeetha

Abstract: The construction of masculinity in African literature, particularly in the works of Chinua Achebe, has often been interpreted through the lens of tradition, authority, and patriarchal dominance. However, a closer examination reveals that Achebe’s narratives not only depict but also interrogate and complicate these masculine ideals. This article explores how masculinity is constructed, performed, and ultimately destabilized in Achebe’s major novels, with particular attention to the relationship between gender and leadership. By analyzing key texts such as Things Fall Apart, No Longer at Ease, and A Man of the People, the study argues that Achebe simultaneously represents and critiques patriarchal structures embedded within Igbo society and postcolonial governance. Drawing on postcolonial theory and gender studies, the paper examines how leadership is coded as masculine and how this coding contributes to both personal and societal crises. Furthermore, it highlights the often-overlooked roles of female characters and alternative masculinities that challenge dominant norms. The article ultimately contends that Achebe’s fiction offers a nuanced critique of patriarchal authority, suggesting the need for a reimagined model of leadership that transcends rigid gender binaries.

Published by: vikaspatanker

Authors: Aryan D. Vekariya

Abstract: When working across different devices, moving a file securely from a phone to a laptop is surprisingly annoying. People usually end up emailing files to themselves or logging into a cloud drive just for one small transfer. This not only wastes time but also leaves junk data sitting on third-party servers forever. To fix this, we built QuantumDrive, a simple web app that lets you transfer files directly without forcing you to make an account. We used React for the frontend and Node.js for the server. Instead of saving your files permanently, the app encrypts them right inside your browser. The receiver then downloads the file using a temporary QR code, and the file gets deleted from the server shortly after. This paper explains how we designed the app, how the encryption works, and what we learned while building it during our internship.

Published by: vikaspatanker

Authors: Dr. Satish Kumar

Abstract: This research investigates the steady, laminar Couette flow of a viscous incompressible fluid through a porous medium bounded by two infinite horizontal parallel plates. A transverse magnetic field and thermal radiation effects are typically incorporated to analyze their impact on the flow and thermal characteristics. the fluid is electrically conducting, the effects of the porosity of the medium, the surface stretching velocity, The heat generation coefficient on both the flow and heat transfer are presented. The governing partial differential equations for momentum and energy are formulated based on Darcy’s law.

DOI: https://doi.org/10.5281/zenodo.19681181

Published by: vikaspatanker

Authors: Dr. Rishabh Bhardwaj, Km. Aakansha

Abstract: Synthetic acid-base indicators, though widely used, present challenges such as toxicity, environmental hazards, and high cost. This study explores the preparation of eco-friendly pH indicator strips using natural sources including turmeric (Curcuma longa), rose (Rosa indica), beetroot (Beta vulgaris), and red cabbage (Brassica oleracea). Extracts were prepared by aqueous extraction and applied to paper strips to develop natural indicators. The prepared strips were tested on 59 household chemicals and 14 standard pH solutions (pH 1–14). The results demonstrated distinct color variations for acidic, neutral, and basic media. Red cabbage showed a wide color range comparable to universal pH paper, while turmeric, rose, and beetroot exhibited clear differentiation between acids and bases. The study confirms that natural indicators are cost-effective, biodegradable, non-toxic, and suitable alternatives to synthetic indicators for educational and analytical applications.

DOI: https://doi.org/10.5281/zenodo.19680163

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Authors: Dr Ch V Krishna Reddy, MVV Aneesh, V Yushma Naga Surya, N Akhil Sai

Abstract: The dependence of electric vehicle (EV) charging on grid electricity drawn from fossil-fuel-based generation defeats the purpose of sustainable mobility. This paper presents the design and prototype development of a tri-hybrid renewable EV charging station that simultaneously harvests energy from three independent sources: a Solar Photovoltaic (PV) array, a Vertical Axis Wind Turbine (VAWT), and a Regenerative Speed Bump (RSB) mechanism. Each source feeds a common 12 V DC bus through dedicated signal-conditioning chains — MPPT for solar, and full-bridge rectifier followed by a voltage regulator for VAWT and RSB — with isolation diodes preventing reverse current flow. The conditioned power charges a 12 V, 5 Ah lead- acid battery, from which an EV charging dock is supplied. Energy calculations based on actual prototype hardware yield a gross daily harvest of approximately 182.9 Wh, reducing to roughly 128 Wh of usable energy after system losses. The three sources are chosen for their complementary availability: solar dominates during clear daylight, wind supplements during low- irradiance periods, and the speed bump produces a transient energy pulse with every vehicle passage. The prototype, demonstrates a cost-effective, grid-independent charging solution scalable to full-station deployment.

DOI: https://doi.org/10.5281/zenodo.19678780

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Authors: Dr. Rishabh Bhardwaj, Farheen Mansuri, Ms. Harshita Sharma

Abstract: The development of eco-friendly nanomaterials has gained significant attention due to increasing environmental concerns associated with conventional chemical synthesis. This study focuses on the green synthesis of copper oxalate nanopowder using plant extracts as natural reducing and stabilizing agents. Plant-derived phytochemicals such as flavonoids, phenolics, and proteins facilitate nanoparticle formation under mild conditions. The synthesized nanopowder was characterized using basic analytical techniques including UV–Visible spectroscopy, pH measurement, conductivity analysis, viscosity studies, and flame photometry. The results confirmed successful formation of copper oxalate nanoparticles, indicated by characteristic spectral features and stable physicochemical properties. The green synthesis approach proved to be cost-effective, safe, and environmentally benign. The study highlights the potential of plant-mediated synthesis for developing sustainable nanomaterials and their possible applications in catalysis, environmental remediation, and material science.

DOI: https://doi.org/10.5281/zenodo.19678287

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Authors: Dr. Rishabh Bhardwaj, Iram Khan, Ms. Meenal Maan

Abstract: Heavy metal contamination in agricultural soils has become a major environmental concern due to its adverse effects on soil quality, crop productivity, and human health. The present study focuses on the quantitative analysis of heavy metals in agricultural soil samples collected from selected locations. Metals such as lead (Pb), cadmium (Cd), chromium (Cr), nickel (Ni), zinc (Zn), and copper (Cu) were analyzed using standard analytical techniques. Soil samples were collected, air-dried, sieved, and subjected to acid digestion followed by analysis using Atomic Absorption Spectroscopy (AAS). The results indicated variation in heavy metal concentrations across different sampling sites, reflecting the influence of anthropogenic activities such as fertilizer use, wastewater irrigation, and industrial emissions. Some metals were found near or above permissible limits, indicating localized contamination. Statistical analysis revealed correlations among metals, suggesting common sources. The study highlights potential environmental and health risks associated with heavy metal accumulation and emphasizes the need for sustainable soil management and regular monitoring.

DOI: https://doi.org/10.5281/zenodo.19677896

 

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