International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 11 | Nov 2025
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
AI-Powered InfraDesign Suite: An Intelligent Automation Framework for Civil and Architectural Design and Estimation Dr. C.P. Divate1, Mr.S.M.Patil2 , Varun R Pitambare3, Khwajakabir T Mujawar4, Shlok R Malani5, Abhishek R Patil6, Rohan R Pawar7 1,2 Professor, Department of Computer Engineering, Shri Ambabai Talim Sanstha Sanjay Bhokare
Group Of Institue, Miraj 416410, India 3,4,5,6,7 Computer Science Students, Department of Computer Engineering, Shri Ambabai Talim Sanstha Sanjay
Bhokare Group Of Institue, Miraj 416410, India ---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract - The AI-Powered InfraDesign Suite: An
importance of structured skill-building to enhance employability.
Intelligent Automation Framework for Civil and Architectural Design and Estimationaims to develop an intelligent software platform that automates planning, designing, and estimation in construction projects. Users can input land details, building type, and preferences, after which the system interacts like a civil engineer—calculating material, labor, and equipment requirements. It generates accurate 2D and 3D designs along with three optimized budget options: economy, standard, and premium. By integrating AI, machine learning, and rule-based modeling, the system enhances accuracy, efficiency, and costeffectiveness, minimizing manual effort and human error in modern civil and architectural workflows.
[2] Michael Brown and Sarah Johnson (2020) examined AI-powered systems for smart design and cost prediction. They found that integrating intelligent tools can automatically generate optimized 2D/3D models and material estimates, enhancing speed and affordability. [3] David Miller and Emily Davis (2021) emphasized that AI-assisted construction systems increase transparency and reliability in project estimation. Their research proved that automated material selection and cost forecasting build client trust and minimize resource wastage.
1.INTRODUCTION
[4] Carlos Lee and Maria Garcia (2018) explored how automation and AI enhance architectural and civil workflows, reducing design time and operational costs while enabling creative innovation.
The construction industry increasingly demands intelligent and automated systems for design and estimation. Traditional methods are often time-consuming and prone to errors. The AI-Powered InfraDesign Suite (AICEAS) integrates artificial intelligence with civil engineering and architectural principles to provide accurate, data-driven project planning.
[5] Robert Wilson and Linda Martinez (2022) highlighted data management and security challenges in AI-based construction systems, stressing the need for strong privacy measures and regulatory compliance to protect sensitive project data.
The system uses Python, Java, Flask, and SQL to manage user input, perform AI-driven calculations, and store project data securely. It automatically generates 2D plans, 3D visualizations, and budget estimates, enabling architects and engineers to make informed decisions efficiently. AICEAS represents a modern approach to digital construction management, ensuring precision, automation, and sustainability in building design.
Research Objectives 1. 2. 3. 4. 5. 6. 7. 8.
2. Literature Review [1] John Doe and Jane Smith (2019) discussed how AI has transformed construction planning and architectural design through automation of key functions like site analysis and cost estimation. Their study showed improved accuracy, efficiency, and decision-making in building projects. completed training, indicating the
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Impact Factor value: 8.315
Study civil engineering and architectural principles Design user-friendly interfaces Develop secure database management Implement AI and rule-based modules Ensure data security and integrity Evaluate system performance Automate plan generation Optimize budget planning
3. Methodology The AI-Powered InfraDesign Suite (AICEAS) is developed using a modular design approach to ensure efficiency,
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