OBLIGATION-ZERO

说明与用途

Obligation Zero 使用 Gemma 通过 Ollama 自动化在长文档中查找任务和截止日期，减少手动搜索。

问题

Users struggle to locate important deadlines and obligations in long documents.

结果

Obligation Zero reduces manual effort in locating obligations and deadlines by automating extraction and providing draft responses.

工作流

• Upload a supported document (PDF, DOCX, TXT, Markdown, CSV, EML).
• Backend extracts text from the document.
• Extracted content is sent to an Ollama-hosted Gemma model for analysis.
• The model identifies obligations, tasks, deadlines, and supporting evidence.
• Users can generate draft replies to obligations.
• Users review the extracted information before deciding on actions.

证据

Instead of manually scanning documents for every obligation, users can upload supported files and let the application identify important tasks, deadlines, and relevant evidence.

来源

The application sends the extracted content for AI-powered analysis.

来源

Scanned documents requiring OCR are not currently supported by the text-extraction workflow.

来源