ArchVision AI: An AR and Physics-Integrated Intelligent Platform for Real-Time Interior Design, Structural Stress Simulation, and Budget-Intelligent House Planning

Aachal Arvind BendeStudent, Computer Science and Engineering, Shri Sai College of Engineering and Technology, DBATU University, Bhadrawati, Chandrapur, Maharashtra, IndiaChetali Sunil DeotaleStudent, Computer Science and Engineering, Shri Sai College of Engineering and Technology, DBATU University, Bhadrawati, Chandrapur, Maharashtra, IndiaSuraj S. BankarAssistant Professor, Computer Science and Engineering, Shri Sai College of Engineering and Technology, DBATU University, Bhadrawati, Chandrapur, Maharashtra, India

Vol 10 No 4 (2026): Volume 10, Issue 4, April 2026 | Pages: 418-425

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 30-04-2026

doi Logo doi.org/10.47001/IRJIET/2026.104057

Abstract

The conventional process of residential interior design and house construction planning is burdened by fragmented toolsets, static 2D blueprints, opaque budgeting, and a complete absence of real-world physical simulation. This paper presents ArchVision AI, a multi-layer intelligent platform that unifies Augmented Reality (AR) visualisation, Unity PhysX-based gravitational and structural collapse simulation, AI-driven layout generation using Google Gemini 2.5 Pro, a Budget Intelligence Engine with contractor-tier cost modelling, Vastu Shastra compliance enforcement through reverse-gravity haptic feedback, a Construction Phase Scheduler with milestone tracking, and a blockchain-anchored smart contract layer for land title verification and contractor payment escrow. Built on a Vite + TypeScript frontend generated via Google Stitch, a PostgREST API atop PostgreSQL managed through InsForge, and Google ARCore (Depth API, Geospatial API, Cloud Anchors), the platform enables users to visualise a complete three-bedroom house anchored to actual GPS coordinates, stress-test structural integrity via Finite Element Method (FEM) analysis, swap materials with real-time compressive-strength and cost recalculation, and digitally sign blockchain contracts -- all within a single web and AR application. Prototype evaluation demonstrated sub-400 ms AR anchor latency, real-time PhysX collapse rendering at 60 fps, a 76% reduction in design iteration time compared to conventional CAD workflows, and a 91% user accuracy rate in Vastu compliance verification, validating ArchVision AI as a viable, next-generation platform for the Indian real-estate and construction sector.

Keywords

Augmented Reality; Google ARCore; Interior Design; Unity PhysX; Structural Simulation; Vastu Compliance; Budget Intelligence Engine; Blockchain Smart Contracts; Gemini 2.5 Pro; InsForge; PostgREST; Geospatial API; Gravity Simulation; Construction Scheduling; FEM Analysis; Smart Cities


Citation of this Article

Aachal Arvind Bende, Chetali Sunil Deotale, & Suraj S. Bankar. (2026). ArchVision AI: An AR and Physics-Integrated Intelligent Platform for Real-Time Interior Design, Structural Stress Simulation, and Budget-Intelligent House Planning. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(4), 418-425. Article DOI https://doi.org/10.47001/IRJIET/2026.104057

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