PULSE — Business Attention & Action Intelligence
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About the Project
Pulse is an advanced, full-stack intelligence system built for processing system events, correlating data, and orchestrating AI-driven actions[cite: 2].
It captures inputs and routes them through specialized processing engines—such as the Correlation, Priority, and Signal engines—while leveraging Google's Gemini API for generative capabilities[cite: 2]. The system manages long-term memory, maps entity relationships, and provides a dedicated Copilot interface alongside audit and briefing generation[cite: 2].
This is not a basic CRUD application or a simple wrapper around an LLM.
It is a highly modular, event-driven orchestration tool designed for AI engineers, data scientists, and developers building autonomous or semi-autonomous systems.
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Key Features
Multi-Engine Processing (Correlation, Event, Priority, and Signal engines)[cite: 2]
Pluggable AI Integration featuring Google Gemini API and a built-in Mock Provider for local testing[cite: 2]
Dedicated Copilot and Attention API mechanisms[cite: 2]
Memory and Relationship management services[cite: 2]
Connector framework for external service integrations[cite: 2]
Audit trails and automated briefing generation[cite: 2]
Modern, high-performance React + Vite frontend[cite: 2]
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Tech Stack
Python (Backend core)[cite: 2]
SQLAlchemy + Pydantic (Data Models & Schemas)[cite: 2]
Google Gemini API (AI Capabilities)[cite: 2]
React + Vite + JavaScript/CSS (Client-side Frontend)[cite: 2]
SQLite (Local development database)[cite: 2]
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Who is this for?
AI/ML Engineers and Researchers
Full-stack developers building agentic workflows
Enterprise automation and operations teams
Anyone looking to orchestrate complex AI logic and data correlation beyond simple chat interfaces
---
Disclaimer
Pulse is an advanced architectural framework and orchestration engine. It requires proper configuration of API keys and environment variables (via .env). Always utilize the provided mock_provider for safe, cost-free local testing before deploying live generative AI workloads to production.
---
Connect with the Creator
Veer Patangiya
GitHub: https://github.com/Veer3013
Project Repository: https://github.com/Veer3013/PULSE-Bus...
PULSE — Business Attention & Action Intelligence
---
About the Project
Pulse is an advanced, full-stack intelligence system built for processing system events, correlating data, and orchestrating AI-driven actions[cite: 2].
It captures inputs and routes them through specialized processing engines—such as the Correlation, Priority, and Signal engines—while leveraging Google's Gemini API for generative capabilities[cite: 2]. The system manages long-term memory, maps entity relationships, and provides a dedicated Copilot interface alongside audit and briefing generation[cite: 2].
This is not a basic CRUD application or a simple wrapper around an LLM.
It is a highly modular, event-driven orchestration tool designed for AI engineers, data scientists, and developers building autonomous or semi-autonomous systems.
---
Key Features
Multi-Engine Processing (Correlation, Event, Priority, and Signal engines)[cite: 2]
Pluggable AI Integration featuring Google Gemini API and a built-in Mock Provider for local testing[cite: 2]
Dedicated Copilot and Attention API mechanisms[cite: 2]
Memory and Relationship management services[cite: 2]
Connector framework for external service integrations[cite: 2]
Audit trails and automated briefing generation[cite: 2]
Modern, high-performance React + Vite frontend[cite: 2]
---
Tech Stack
Python (Backend core)[cite: 2]
SQLAlchemy + Pydantic (Data Models & Schemas)[cite: 2]
Google Gemini API (AI Capabilities)[cite: 2]
React + Vite + JavaScript/CSS (Client-side Frontend)[cite: 2]
SQLite (Local development database)[cite: 2]
---
Who is this for?
AI/ML Engineers and Researchers
Full-stack developers building agentic workflows
Enterprise automation and operations teams
Anyone looking to orchestrate complex AI logic and data correlation beyond simple chat interfaces
---
Disclaimer
Pulse is an advanced architectural framework and orchestration engine. It requires proper configuration of API keys and environment variables (via .env). Always utilize the provided mock_provider for safe, cost-free local testing before deploying live generative AI workloads to production.
---
Connect with the Creator
Veer Patangiya
GitHub: https://github.com/Veer3013
Project Repository: https://github.com/Veer3013/PULSE-Bus...