Immersive digital experiences rely increasingly on high-quality 3D content, yet traditional 3D authoring demands specialized expertise, multi-camera capture rigs, and prolonged processing pipelines that remain out of reach for most developers. This paper presents a lightweight, end-to-end artificial intelligence framework that automatically reconstructs a textured 3D polygon model from a single RGB photograph and renders it interactively through a browser-native WebAR interface. The system integrates a deep learning model utilizing convolutional layers to capture representative patterns and features. with a monocular depth-estimation module, Marching-Cubes mesh synthesis, UV-texture projection, and progressive mesh-simplification optimized for delivery over A-Frame, Three.js, and the WebXR Device API. Empirical evaluation confirms a reconstruction accuracy of 96.8% across benchmark image sets, with processing times within practical thresholds on commodity mobile hardware. The proposed architecture eliminates dedicated application installation and offers a scalable, cost-efficient route to AI-powered 3D asset generation.
Cardiovascular disease (CVD) remains the leading cause of global mortality, necessitating non-invasive, accurate, and interpretable screening tools. Retinal fundus imaging offers an accessible, low-cost means of assessing systemic vascular condition, since microvascular changes v…
Modern smart grids are becoming increasingly complex, creating a growing need for monitoring systems capable of detecting abnormal behavior before major power failures occur. This paper presents a real-time smart grid monitoring framework for early outage-risk detection using mac…
Machine learning (ML) and artificial intelligence (AI) will be substituting financial modeling and corporate strategy and will offer an opportunity to make data-driven, adaptive, and predictive decisions. This review examines the application of machine learning processes to finan…
This paper presents an AI-driven self-adaptive irrigation framework integrating IoT sensing, computer vision, adaptive learning, and automated irrigation control. The proposed system continuously monitors soil moisture, temperature, humidity, water flow, and visual plant health c…
Outfit compatibility prediction has been studied extensively for Western clothing using the Maryland Polyvore benchmark dataset, with state-of-the-art models such as OutfitTransformer achieving AUC scores of 0.92 (Sarkar et al., 2023). However, no published work addresses this pr…
Modern microblogging and social networking ecosystems serve as massive, continuous streams of public expression, generating expansive volumes of multilingual data that reflect global consumer sentiments and emotional trends. Parsing actionable insights from this cross-lingual tex…