Skip to content

Pritampyaare/SkyBook-AI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

63 Commits
 
 
 
 
 
 
 
 

Repository files navigation

SkyBook-AI-ML

Real-time Book Inventory Stock Up based on Current Trends

Environment

To run this project, you will need to have the following environment

Python 3.7.11

Pandas 1.3.5

numpy 1.21.5

scikit-learn 1.0.2

xgboost 1.5.2

jinja2 3.1.1

gradio 2.8.14

Deployment

To deploy this project install

  pip install pandas
  pip install numpy
  pip install -U scikit-learn
  pip install xgboost
  pip install jinja2

Run Locally

Clone the project

  git clone https://github.capgemini.com/menkrish/SkyBook-AI-ML

Go to the project directory

  cd SkyBook-AI-ML

Download the dataset folder in the SkyBook-AI-ML folder (can only be access by capgemini onedrive id)

  link to the dataset folder https://capgemini-my.sharepoint.com/personal/pritamkumar_surendra-mehta_capgemini_com/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fpritamkumar%5Fsurendra%2Dmehta%5Fcapgemini%5Fcom%2FDocuments%2FDatasets&ct=1649668145343&or=Teams%2DHL&ga=1

Install dependencies

  pip install pandas
  pip install numpy
  pip install -U scikit-learn
  pip install xgboost
  pip install jinja2
  pip install gradio

To Run the project

  python prediction1.3.py

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages