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Description
Description
I’d like to add a new feature called NeuraDraft, an AI-powered document generator that creates structured reports or summaries based on existing content.
It supports human-in-the-loop feedback, allowing users to refine, edit, and interact with the generated report in real-time.
Key Features:
📄 Generate reports or documentation from existing project files or user input
🤖 Integrate an AI model for content synthesis (summary, formatting, tone adjustment)
💬 Interactive feedback loop — user suggestions instantly refine the report
🧠 Context awareness — remembers previous edits or preferences during a session
⚙️ Export to multiple formats (PDF, DOCX)
Proposed Implementation
Use Python backend with LangChain / OpenAI API (or local LLM)
Implement a simple UI for interactive editing
Store feedback loops in JSON to improve future generations
Why It’s Useful:
This feature turns static content generation into a collaborative, intelligent workflow, saving time and improving quality for documentation-heavy projects.
Please assign this issue to me. 🙌