ERPNext, GPSgate & LLM Integration

I need a developer who can connect three moving parts into one smooth workflow.
First, you will wire GPSgate’s REST API into our ERPNext instance so that vehicle location data, maintenance schedules and driver performance metrics flow in automatically. Once that data sits in Frappe, I want users to see live maps inside ERPNext, receive maintenance alerts before a breakdown happens, and drill into driver-by-driver performance dashboards.

The second phase adds a large-language-model layer. I’m aiming for natural-language query capability: a user should be able to ask, “Which drivers exceeded idle limits this week?” or “Show me vehicles due for service within 300 km,” and get instant answers or auto-generated charts without writing SQL.

Key deliverables
• ERPNext app or custom scripts that call the GPSgate API on a schedule, handle auth tokens, parse the three data groups and create/update the right DocTypes.
• UI enhancements for real-time tracking, automated maintenance alerts and driver performance analysis, all inside ERPNext.
• LLM integration (your choice of OpenAI, Hugging Face, or a self-hosted model) that interprets plain-English questions, queries the ERPNext database securely and returns readable results.
• Documentation and a quick video walkthrough so my in-house team can maintain the setup.

Acceptance is simple: if every data point from GPSgate shows up in ERPNext within 60 seconds of being generated, dashboards refresh correctly, and the LLM answers at least five sample questions with 95 % accuracy, the job is done.