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.
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.
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.
Running the model locally means the application does not need a hosted model API for its current demo setup.
- 记录日期: 2026-10-25T23:11:50.722Z