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AtlasRepo

LifeAdmin-AI: Turning Documents into Actionable Tasks with Local AI

说明与用途

LifeAdmin‑AI 自动提取通知中的任务和截止日期,提供结构化 JSON 并标记不确定性。

问题

Users manually read notices to extract tasks and deadlines, risking missed deadlines.

结果

LifeAdmin-AI automates extraction of actionable items from notices, producing structured JSON that includes tasks, deadlines, priorities, and evidence, with Python validation to surface uncertainties.

工作流

  • Upload PDF/TXT or paste text into Streamlit UI
  • Ollama runs Gemma 3 locally to extract text and generate structured JSON
  • Python validates JSON structure and flags uncertainties
  • Display tasks, deadlines, priorities, and evidence excerpts to the user

证据

LifeAdmin-AI is a document assistant designed to turn notices and other text documents into actionable tasks.

来源

Instead of manually reading an entire notice and trying to remember every deadline, users can upload a PDF or TXT file, or paste text, and get a structured summary of the tasks, deadlines, priorities, and supporting evidence.

来源

The application asks the model to return structured JSON containing a summary, tasks, and uncertainties. Python validation checks the response structure before the results are displayed.

来源

Running the model locally means the application does not need a hosted model API for its current demo setup.

来源

  • 记录日期: 2026-10-25T23:11:50.722Z