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Project Description

A US-based construction modeling firm focused on digital infrastructure optimization partnered with Oodles to digitize and manage complex site and equipment data. The client aimed to simplify site operations through a structured, scalable platform for importing, mapping, and retrieving equipment models and templates. Oodles delivered a custom solution using Django and React for seamless data interaction.

Scope Of Work

The project aimed to address inconsistencies in managing large-scale site and equipment data across ongoing projects. The client sought Oodles for building a platform to handle dynamic imports, structured record mapping, and real-time data access. The areas of work included data model design, import/export workflows, frontend integration, and secure API development for equipment and template queries.

Our Solution

To meet the client’s requirements, Oodles implemented a robust and scalable platform using Django for backend logic and React for frontend flexibility. 

Key features implemented:

  • Relational Data Modeling: Created Django models to represent hierarchical site elements, equipment categories, and point templates.
  • Dual Import Modes: Built two parallel data ingestion methods—manual input through React forms and bulk import via structured files (CSV/XLSX).
  • REST API Layer: Developed secure endpoints to fetch equipment and point template data in real-time. 
  • Dynamic Form Interfaces: Designed interactive frontend components to allow structured data submission and visualization.
  • Validation and Rollback Mechanism: Added form-level validation and fail-safes during import/export operations to maintain data integrity.

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