InvoicePilot AI: Smarter Invoice Automation with TEv1 and MCP

说明与用途

本地 AI 助手处理发票图像，提取客户、金额和到期日，存储在 SQLite，回答自然语言查询并生成礼貌提醒邮件，全部不将数据发送到云端。

问题

Freelancers spend hours chasing late payments and managing invoices manually.

结果

The assistant reduces manual invoice processing time, keeps client data local, and provides quick, accurate responses and reminder drafts.

工作流

• Upload invoice image or screenshot
• Vision model (gemini-flash-latest) reads image and outputs JSON with client, amount, due dates
• User confirms extracted fields
• Data saved to local SQLite database
• User asks natural language query (e.g., "which invoices are overdue?")
• AI agent (TEv1 + local LLM via Ollama) selects appropriate tool via MCP
• Tool executes query on database
• AI drafts reminder email with exact amount and days overdue

证据

You upload a photo or screenshot of an invoice, a vision model running on your own laptop reads the client, amount, and due dates, and after you confirm the fields it saves them to a local database.

来源

The project explores whether combining a lightweight decision model with an LLM can improve tool-calling reliability while reducing input-token usage.

来源

By running the decision model locally, the project avoids additional API costs for tool selection while keeping the main LLM responsible for generating tool arguments.

来源