DreamHome AI: A Rule-Based and Constraint-Based Home Construction Plan Designer with Parking Planning and Cost Estimation

Preliminary home planning is usually manual and fragmented: land details, room layout, parking and cost are handled separately by architects, draftsmen and contractors, so every change in requirements forces redrawing and recalculation. This paper presents DreamHome AI, a web-based home construction plan designer that brings requirement validation, 2D floor-plan generation, parking planning and construction cost estimation into one workflow. A constraint-based algorithm validates the user’s inputs, a rule-based spatial allocation algorithm arranges the rooms within the plot, and geometric checks test room dimensions, plot boundaries and overlapping placements. Cost is estimated from the built-up area and a cityspecific construction rate. The application is implemented with a Next.js and TypeScript frontend, a Python FastAPI backend and a PostgreSQL database. A worked example for a 30 ft × 40 ft east-facing plot produces a two-floor, three-bedroom layout and a cost estimate for three quality tiers. The generated plans and estimates are preliminary and must be reviewed by qualified professionals before construction.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2026-11-04
DOI
https://doi.org/10.22214/ijraset.2026.85513
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
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article

DreamHome AI: A Rule-Based and Constraint-Based Home Construction Plan Designer with Parking Planning and Cost Estimation

Lohitha R, Mounika K, Kavithra R
International Journal for Research in Applied Science and Engineering Technology
Architecture and Computational Design
article

DreamHome AI: A Rule-Based and Constraint-Based Home Construction Plan Designer with Parking Planning and Cost Estimation

Lohitha R, Mounika K, Kavithra R
article en

Abstract

Preliminary home planning is usually manual and fragmented: land details, room layout, parking and cost are handled separately by architects, draftsmen and contractors, so every change in requirements forces redrawing and recalculation. This paper presents DreamHome AI, a web-based home construction plan designer that brings requirement validation, 2D floor-plan generation, parking planning and construction cost estimation into one workflow. A constraint-based algorithm validates the user’s inputs, a rule-based spatial allocation algorithm arranges the rooms within the plot, and geometric checks test room dimensions, plot boundaries and overlapping placements. Cost is estimated from the built-up area and a cityspecific construction rate. The application is implemented with a Next.js and TypeScript frontend, a Python FastAPI backend and a PostgreSQL database. A worked example for a 30 ft × 40 ft east-facing plot produces a two-floor, three-bedroom layout and a cost estimate for three quality tiers. The generated plans and estimates are preliminary and must be reviewed by qualified professionals before construction.

International Journal for Research in Applied Science and Engineering TechnologyVol. 14(11)
Openalex Percentile: Top 4%
Architecture and Computational Design
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