Welcome to our ML SmartApp Hackathon Repository! This repository contains two directories, one for an analytical dashboard and another for an engineering drawing extraction, YOLO-based system.
The analytical dashboard directory contains a web application that displays data visualizations and insights generated from machine learning models. The dashboard is built using Python and popular data analysis libraries, such as Pandas, Matplotlib, and Plotly.
To run the dashboard, follow the instructions in the dashboard directory's README file. You'll need to have Python and the required dependencies installed in your machine.
The engineering drawing extraction YOLO-based system directory contains a machine learning model that uses the YOLO (You Only Look Once) algorithm to extract engineering drawings from images. This system can be used in a variety of applications, such as automated design review or document management.
To run the engineering drawing extraction system, follow the instructions in the system directory's README file. You'll need to have Python and the required dependencies installed, as well as a dataset of engineering drawing images.
We hope you find our repository useful, and we welcome contributions and feedback from the community. Happy hacking!
#About the project This project can be used by organisations to automate form creation by admins and user.
#Frontend
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Open a code editor and a terminal and navigate to the directory of the "DataToAction" folder
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Make sure you have node installed on your device else you can install node from, https://nodejs.org/en/download/
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Then run the command : npm install to install all the dependencies required for the frontend to work.
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Finally run the command : npm run dev This is initiate a webpage on localhost and the port number will be mentioned in the given url.
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Navigate to htpp://localhost:${portNumber}
#Backend
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Run the npm install command in DtoABackend folder to install the dependencies.
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Run the command : nodemon server To initiate the server.
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Also make sure you create a .env file in .gitignore folder and paste the atlas credentials to ensure mongoDB integration works.