it is output of opspilot Api

OpsPilot AI

Inspiration

Businesses spend a significant amount of time performing repetitive operational tasks such as planning workflows, organizing activities, and coordinating business processes. I wanted to build an AI assistant that can simplify these tasks by automatically generating structured workflows from natural language instructions.

What it does

OpsPilot AI is a FastAPI-based business workflow assistant. Users can submit a business task through the API, and the system generates a structured workflow that can be used as the starting point for automation. The project demonstrates how AI can help plan business operations through a simple REST API.

Current features include:

AI workflow planning endpoint
REST API built with FastAPI
Health monitoring endpoint
Workflow execution endpoint
Memory and history API endpoints
OpenAI-compatible integration prepared for Qwen Cloud

How I built it

The backend was developed using Python and FastAPI.

The application exposes REST endpoints that accept user requests and generate workflow plans. The project structure was organized into reusable modules to make future expansion easier.

The application is designed to integrate with Qwen Cloud using its OpenAI-compatible API.

Challenges I ran into

The biggest challenge was setting up the project structure, configuring the API environment, and integrating the AI service within the available hackathon time. Another challenge was organizing the backend into reusable components while keeping the application simple and easy to understand.