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Build AI-powered document generation system (OpenAI API)

  • Posted:
  • Proposals: 63
  • Remote
  • #4493064
  • OPPORTUNITY
  • Open for Proposals
Khalid H.Pixel Point TechnologyDavid O.Adnan M.Micheal B. + 58 others have already sent a proposal.
  • 7

Description

Experience Level: Expert
Project Overview

I have an existing LMS platform where users access courses and complete structured workbooks (2 worbooks).

I want to build a secure AI system that:

- accepts completed workbook inputs from users
- validates the data
- generates documents documents
- maintains consistency across all documents

This is NOT a simple chatbot. It is a structured workflow system.

- Core Workflow
- User logs into LMS
- User completes embedded workbooks (must NOT be downloadable)
- User submits inputs to AI system

Backend performs:
- completeness validation
- financial consistency checks
- narrative checks
- System creates a locked master data sheet

AI generates:
Documents
All documents must remain consistent (single source of truth)

Key Requirements
- Security & IP Protection
- Prompts must NOT be visible to developer/frontend
- Prompts stored server-side (private database or secure vault)
- OpenAI API key must be hidden (backend only)
- No prompt exposure in frontend code

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Clarification Board Ask a Question

  • Satwinder S.

    Hi, thanks for the detailed overview, this is clearly a structured AI workflow, not just a chatbot.

    To scope the architecture and security correctly, could you clarify: what your current LMS stack/backend is, whether the workbook inputs are already structured (forms/fields) or semi-free text, and if you have any preference for AI model/provider and document formats (PDF, DOCX, etc.)? Also, do you want the validation rules (financial/narrative) to be fully rule-based, AI-assisted, or a hybrid?

    This will help me design a secure, consistent system with proper backend isolation and single source of truth.

  • Eight Veer Ltd

    Hi Mohamed, could you share your LMS/backend stack, the two workbook structures and the target document list, so we can map the validation logic, master data layer and backend OpenAI flow around your current setup? Redacted sample workbook data is enough at this stage; we do not need any passwords, API keys or sensitive access details.

  • Asad C.

    - Can you share details about the workbook format (fields, sections, data types, conditional logic)?

    - What specific documents need to be generated, and do you have sample outputs or templates?

    - What kind of financial consistency checks and narrative validations are required? For example, are there predefined formulas, dependencies, or rules that must always hold true?

  • Krishna W.

    Hello Mr. Mohamed C,

    Do you already have a defined master data schema to enforce consistency across all AI-generated documents?