Upgrade AI Email Dashboard

I have an internal dashboard that uses AI to generate automatic email replies. It works, but it’s starting to fall behind our needs.
The main goal is to boost the accuracy of each suggested response while making the interface feel smoother for everyday users.

Accuracy updates
• Refine keyword-matching so the system chooses the right intent even in edge-case phrasing.
• Incorporate stronger natural-language-processing techniques to handle varied sentence structures and tone.
• Refresh or retrain the underlying data models; I’ll provide sample email logs for you to fine-tune on.

Interface refinement
Right now the layout is functional but clunky. I want the overall user experience to feel intuitive—fewer clicks from draft to send, clearer confidence scores, and in-context editing without hunting through sub-menus. Visual design tweaks are welcome if they help usability, but the prime target is UX flow.

Tech stack
The current build sits on a Python backend with FastAPI, PostgreSQL, and a lightweight Vue front end, all containerised in Docker. If you prefer alternative tools for the NLP layer—SpaCy, Hugging Face Transformers, OpenAI API—spell out why and how you’d integrate them.

Deliverables
1. Updated codebase with improved response accuracy (validated on my supplied test set).
2. Revised front-end screens focusing on streamlined user experience.
3. Setup/upgrade documentation and a short walkthrough video so my in-house devs can maintain it.

I can spin up a staging server the moment we agree on milestones, and I’m ready to review pull requests as they land. Let me know your approach, estimated timeline, and any data or access you need to get started.

here is the tech stack

Frontend: HTML5, CSS3, Vanilla JavaScript
Backend: Python, FastAPI
Web Server: Uvicorn
Database: SQLite with WAL mode
Background Jobs: APScheduler
Email Integration: Microsoft Graph API, Outlook
AI Integration: OpenAI API
Candidate Matching: NumPy, rank-bm25, Custom Python Rules
Resume and Document Processing: PyMuPDF, pdfplumber, python-docx
Excel Exports: openpyxl
Data Validation: Pydantic
Authentication: bcrypt, python-jose
Notifications: Telegram Bot API
Automation Backend: Node.js, Express.js
Browser Automation: Playwright
Package Management: pip, pnpm
Windows Automation: PowerShell, Batch Scripts, Windows Task Scheduler
Testing: pytest, JavaScript Syntax and Security Checks