SUMMARY AI summary by gpt-5-mini
A student project implementing a simple agentic AI workflow for banking customer support. It accepts a customer message, runs intent detection (fine-tuned model served via a gRPC intent service), assesses priority, retrieves relevant policy text, drafts a reply using an LLM (gpt-oss:20b via Ollama), validates the draft (length, confidence, error checks) and routes the outcome to send, request more info, or escalate to a human. Intended users: students, developers or researchers prototyping dialog/workflow agents for banking support or coursework. Key features: modular node-based pipeline (intent, priority, policy, drafting, validation, router), orchestrator, Ollama client, gRPC intent service, sample requests, and step-by-step run instructions (uses Google Colab, Pinggy tunneling; large model weights hosted on Drive).
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Owner
I'm a student at University of Science. I have interest in Web, Data Science and AI.
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:15 |
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