SAI Integrations

-- example description -- An interactive dashboard for visualizing real-time data in the oil and gas industry. It highlights rig and hoist locations, operational statuses, and key metrics, enabling faster decision-making for field operations and management teams.

Problem Statement

-- example problem statement -- Field engineers and managers in the oil and gas industry often rely on fragmented tools and static reports to track the status and location of rigs and hoists. This makes it difficult to get a clear operational picture or respond quickly to issues. This project aims to centralize and visualize that data through a single dashboard, improving efficiency, situational awareness, and coordination across teams.

Project Links

• Figma
• Business Requirements
• User Stories
• PM Board

Getting started

Pre-requisites

list all pre-requisitses for the project to be able to run on any system }} Examples:

• Node.js (v22)
• Docker (v24.0.2)

Project setup

Clone the repository

git clone {{REPO_URL}}
cd {{REPO_FOLDER_NAME}}

Running the app locally

-- hello world example --

1. Run docker-compose to start the application

docker-compose up
# or
make run

1. Populate the database with sample data

make populate
# or
docker-compose exec app python manage.py populate_db

1. Once the application is running, open your browser and navigate to:

# Frontend
http://localhost:8000
# Backend
http://localhost:8001

Tech Stack

-- example tech stack --

Project Team

Feel free to reach out to any of us for questions, feedback, or collaboration opportunities. We are always open to discussing new ideas and improvements for the project.

Happy coding!