Streamlines school administration by enabling natural language queries and AI-driven PDF report generation through a local, privacy-first agentic system.
Sponsored
School Agent Admin is a privacy-first, local-first management system leveraging the Model Context Protocol (MCP), LangGraph, and Ollama for intelligent automation. Designed as a proof-of-concept, it empowers school administrators to interact with student data and generate detailed PDF reports using natural language prompts. The system features an intuitive AI-driven Streamlit interface, processes data through a SQLite backend, and utilizes a local Llama 3.1 LLM via Ollama, ensuring data privacy and local execution for sensitive information management.
Key Features
01Privacy-first, local-first architecture
02Natural language querying of student data
03Streamlit web interface for user interaction
041 GitHub stars
05Local LLM inference with Ollama (Llama 3.1)
06AI-driven PDF report generation
Use Cases
01Empowering school administrators to quickly access and synthesize student information.
02Demonstrating the capabilities of a privacy-focused, local agentic AI system for sensitive administrative tasks.
03Automating the creation of student reports using natural language requests.