Welcome to Associative, a premier full-service software development firm headquartered in Pune, Maharashtra. We are a dedicated team of problem-solvers and IT professionals passionate about delivering absolute engineering excellence.

We are very happy to announce that our team has successfully completed and delivered a highly complex project: AI Clash Detection API Integration. This project was specially designed for the Architecture, Engineering, and Construction (AEC) sector to automatically identify design conflicts in 3D building models using Artificial Intelligence.

Here are the complete details of how we engineered this market-leading solution.

Project Summary

• Project Name: AI Clash Detection API Integration

• Industry/Domain: AEC (Architecture, Engineering, Construction) & Artificial Intelligence

• Total Development & Testing Time: 6 Months

• Team Size: 5 Highly Skilled Professionals (1 Project Manager, 1 AI/ML Engineer, 2 Backend API Developers, 1 QA Automation Engineer)

• Project Status: Successfully Completed and Delivered

Detailed Tasks Performed

To guarantee bug-free and smooth delivery, our engineering team followed a strict, step-by-step process. The major tasks completed during the project lifecycle include:

1. Requirement Analysis and API Architecture Design

• Understanding the core requirements for BIM (Building Information Modeling) automation.

• Designing a secure, scalable, and multi-tenant backend architecture for the API.

2. AI and Spatial Processing Integration

• Writing custom logic to process 3D point-cloud data and complex geometry.

• Integrating Computer Vision and spatial processing algorithms to detect overlapping elements (clashes) between structural, electrical, and plumbing models.

3. Backend API Development

• Developing fast and secure API endpoints to upload 3D models, process the data, and return detailed clash reports in real-time.

• Implementing token-based authentication to ensure that the client’s data remains 100% secure.

4. Database & Cloud Setup

• Setting up cloud-native infrastructure for heavy data processing.

• Creating a structured database to safely store historical clash reports, user logs, and project files.

5. Quality Assurance (QA) and Automated Testing

• Running rigorous QA processes using automated testing pipelines.

• Checking the API for high loads (stress testing) to ensure it does not crash when multiple large 3D models are uploaded simultaneously.

6. Final Deployment and Client Handover

• Setting up fully automated CI/CD pipelines for smooth deployment.

• Delivering complete API documentation and providing training support to the client’s internal team.

Technologies Used

To deliver ultra-high-performance and near-native speeds, we utilized our massive, modern technology stack. The following tools and languages were selected for this specific project:

• Backend & APIs: Python (FastAPI) and Node.js for scalable server-side logic.

• AI & Spatial Processing: Open3D, OpenCV, and PyTorch for processing heavy 3D geometry and running the core clash detection machine learning models.

• Database: PostgreSQL (Relational) for user management and Qdrant (Vector Database) for AI data context.

• Cloud & DevOps: Amazon Web Services (AWS) for cloud hosting, Docker for containerization, and GitHub Actions for CI/CD pipeline automation.

• Testing: Postman for API testing and Cypress for automation.

Why Choose Associative for Your Next Project?

At Associative, innovation is a continuous investment. Whether you need an MVP (Minimum Viable Product) or complex enterprise AI and BIM plugin development, we provide an end-to-end, one-stop shop for your software needs. We operate with unyielding transparency, strict honesty, and open communication.

Contact Us Today to Bring Your Vision to Life:

• Address: Khandve Complex, Yojana Nagar, Lohegaon – Wagholi Road, Lohegaon, Pune, Maharashtra, India – 411047

• Office Hours: 10:00 AM IST to 8:00 PM IST

• WhatsApp: +91 9028850524

• Email: info@associative.in

• Find us on Google: Search “Associative Pune”