AI-Driven Furniture Layout Optimization System for Efficient Space Utilization and Design Planning

This project focuses on developing an AI-based system that optimizes furniture placement within a given space. The system aims to maximize functionality and aesthetic appeal by analyzing spatial constraints, user preferences, and ergonomic principles using intelligent algorithms.

Study principles of space planning and furniture arrangement in interior design.

Collect datasets related to room dimensions, furniture sizes, and layout patterns.

Develop algorithms for space optimization using techniques such as genetic algorithms or constraint satisfaction.

Create a user interface for inputting room details and furniture requirements.

Implement AI models to generate optimal furniture layouts based on constraints and preferences.

Integrate visualization tools to display layout suggestions in 2D or 3D formats.

Conduct simulations to test layout efficiency and usability.

Evaluate system performance using metrics such as space utilization and user satisfaction.

Optimize the system for scalability and real-time processing.

Document the project and demonstrate how AI can automate and improve interior space planning.