Build Private GPT System (DigitalOcean + Notion + OCR + Memory)

I need a developer to finish building a private GPT-based system on my DigitalOcean server.

Most of the architecture and idea is already defined.
I was close to building it myself.

This is NOT from scratch — it is completion + proper setup + integration.

CORE GOAL

Create a system that:

- Stores and indexes all documents (PDF, images, emails)
- Uses GPT (API fallback) to analyze and recall information
- Maintains persistent memory across all chats
- Syncs structured data automatically to Notion

REQUIRED FEATURES

1. DOCUMENT INGESTION + OCR
- Upload PDFs/images
- Extract text (OCR)
- Store + index data

2. MEMORY + SEARCH
- Vector database (Chroma / pgvector or similar)
- All files indexed and searchable
- All chats share same memory

3. NOTION INTEGRATION (IMPORTANT)
- Auto-create/update database entries
- Store:
- timelines
- entities (people, cases)
- structured data

Using paid Notion account is OK (preferred for speed)

4. GPT INTEGRATION
- Use OpenAI API
- Answer questions using stored data
- Access full indexed memory

5. AUDIT LOGGING
- Track:
- chats (timestamped)
- file uploads
- system actions

6. EMAIL PARSING (BASIC)
- Read emails (IMAP or forwarding)
- Extract + store content
- Index into system

ADDITIONAL REQUIREMENTS

- Basic web chat interface (like ChatGPT)
- Must work in browser (desktop + mobile friendly)
- Simple UI, no complex design needed

USE CASE

- System will be used for structured document analysis (legal/case-related data)
- Must support timelines, entities, and cross-referencing

WHAT IS NOT REQUIRED (FOR NOW)

- Advanced file system control (rename/move/delete)
- Complex UI
- Multi-agent system
- Full automation

Keep it simple, working first

TECH STACK (FLEXIBLE)

You can choose best approach, but expected:

- Python backend (FastAPI preferred)
- Vector DB (Chroma / pgvector)
- OpenAI API
- OCR (Tesseract or similar)
- Notion API
- DigitalOcean deployment

IMPORTANT

This system must:

- Work reliably
- Be simple
- Avoid over-engineering
- Focus on core functionality only

FUTURE

- This is Phase 1
- More work available after completion (upgrades and improvements)