Data Fusion & Entity Profiling Analytics Platform

Project Overview

A modular and extensible web-based analytics platform designed for Multi-Source Data Fusion and Intelligent Entity Profiling. It demonstrates how to integrate heterogeneous data sources, configure analytical rules, and compute multi-dimensional health/engagement metrics using parameterized non-linear mathematical models.

Key Features

• Modular Architecture: Built with Flask blueprints, SQLAlchemy ORM, and responsive Bootstrap 5 components.
• Configurable Analytical Models: Demonstrates non-linear algorithms (Sigmoid curves, exponential decay models, saturation indices) for entity scoring and data quality assessment.
• Dynamic Rule Engine: Manage fusion rules, scenario templates, and access policies through an interactive dashboard.
• Interactive UI: Includes dynamic sorting, data visualization tables, and contextual analytical modals.
• Secure by Design: PBKDF2 password hashing, session control, and transaction safety with automatic database rollback.

Functional Modules

1. Dashboard: Centralized metrics dashboard with quick-action navigations.
2. Profile Management: Multi-dimensional entity profiling and engagement index calculations.
3. Data Source Management: Data source tracking and dynamic activity scoring.
4. Algorithm Configuration: Parameterized configuration for analytical functions.
5. Fusion Rule Management: Multi-source data aggregation and concentration metrics.
6. Scenario Template Management: Lifecycle and stability modeling for custom scenarios.
7. Permission & Security: Dynamic access policies and decay-based security scoring.

Quick Start

Prerequisites

• Python 3.8+
• pip

Installation and Execution

1. Install Dependencies:

   bash install.sh

2. Initialize Database:

   python3 init_db.py

3. Run the Application:

   bash run.sh

4. Access the Web Interface: Open http://127.0.0.1:5001 in your browser.
   • Default Username: admin
   • Default Password: admin123

Project Architecture

crossPlatformAi/
├── app.py                  # Main Flask application engine
├── main.py                 # Desktop wrapper entrypoint (optional)
├── config.py               # Application configuration
├── init_db.py              # Database initialization & default admin setup
├── install.sh              # Dependency installation script
├── run.sh                  # Application startup script
├── test_app.py             # Basic functional tests
├── algorithms/             # Analytical & mathematical scoring modules
├── models/                 # SQLAlchemy ORM models
├── routes/                 # Blueprint route controllers
├── static/                 # Static assets (CSS, JS, images)
└── templates/              # Jinja2 HTML templates

License

Licensed under the Apache-2.0 License.