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

Описание и применение

LifeAdmin‑AI автоматически извлекает задачи и сроки из уведомлений, предоставляя структурированный JSON с проверкой модели и выводом неопределенностей.

Задача

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

Результат

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.

Рабочий процесс

• 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

Доказательства

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

Источник

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.

Источник

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.

Источник

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

Источник