Business Operations · AI Agent, Automation, Web App

MapGPT – Intelligent Message Mapping

An AI-powered mapping tool that analyzes uploaded source and destination specifications and automatically creates editable field mappings, transformation rules, validation tests, and integration outputs.

TECHNOLOGYReact, Python, Full Stack, AI

INDUSTRYBusiness Operations

PROJECT TYPEAI Agent, Automation, Web App

DURATION4–8 weeks

MY ROLEAI product engineer

MapGPT – Intelligent Message Mapping project view 1

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Stack and focus areas

ReactPythonFull StackAIOpenAIFastAPINext.jsJSONXMLCSVExcelEDIJSON SchemaXSDData MappingSchema MatchingTransformation RulesCode GenerationData ValidationREST APITest Generation

Project description

Integration developers manually compared source and destination schemas to determine which fields matched, how values should be transformed, and which business rules applied. Large files with inconsistent naming, nested objects, and different data types made mapping slow and error-prone.

I developed MapGPT as a schema and message-mapping workspace. Users upload source and destination files or specifications in formats such as JSON, XML, CSV, Excel, EDI, JSON Schema, or XSD. AI analyzes field names, descriptions, data types, examples, and structural relationships before proposing mappings with confidence scores. Users can review each mapping, add transformation rules, test sample messages, and export the approved result as documentation or executable transformation code.

Stack and focus areas

Project description

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