Python Application ยท 2026
M-AWARE
M-Aware is a Python-based application designed to provide context-aware monitoring, analytics, and intelligent automation across backend, frontend, and knowledge graph layers.
The Problem & User Needs
The repository is organized to keep core application logic, interface behavior, and graph-based relationships in sync so users can explore connected information without losing context.
Project Structure
Python backend services for processing and orchestration.
HTML/CSS/JavaScript chatbot UI.
Graph layer for linked data and context-aware retrieval.
Requirements
Python 3.8+ environment for the backend.
Frontend technologies
Neo4j or another graph database for the knowledge graph.
Run Flow
Create a virtual environment, install dependencies, and run the main Python entry point.
Install npm packages and start the frontend dev server.
Start Neo4j and load the graph data before using graph-backed features.
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Usage & Support
The app is meant to be used through the frontend UI with backend and graph services running locally. Troubleshooting focuses on service availability, environment configuration, and cross-service connectivity.