Skip to content

RetailRevolutioner, aims to provide a solution to the problem of accurately predicting consumer behavior in the retail industry. Our web application will analyze past sales data from clients to provide accurate predictions of which items will be the most popular in the coming month

Notifications You must be signed in to change notification settings

BhavyaMPatel/RetailRevolution

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

47 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Accenture Innovation Challenge 2023


RetailRevolutioner

About The Application 🚀


Login Credential In WebApp - Prototype
UserName  - guest
Password  - guest
RetailRevolutioner, aims to provide a solution to the problem of accurately
predicting consumer behavior in the retail industry.
Our web application will analyze past sales data
from clients to provide accurate predictions of which items
will be the most popular in the coming month
API Information

GET API
1 . /Dashboard    - User Dashboard

POST API

1 . /login        - login use
2 . /data         - Upload Request And Retrive Top 10 Data
Frontend of Application Is Deploy On Firebase - https://retailrevolutioner.web.app/
Backend  of Application Is Still On Local Envirnoment Soon We Will Launch It To EC2
So Till Then We Can't Get Data From Backend Beacause Local Server Is off 🥲
But Soon It Will Be Live 🔥✈️

Technology Used

FastAPI

Preview

User Route

Responce

Follow This Step to Clone This Repo On Your Local System

Pre requirements
Install Node Js In Your Local System
Install Python In Your Local System

Then
1.Clone This Repo
2.cd into frontend folder
  - cd frontend
2.Run This Command
->npm init
->npm install --Will Install All Dependencies
->npm run dev --Will Run Your Frontend on Your Local Server

3.Cd into backend folder
  -cd backend
4.Run This Command
-> pip install fastapi pandas joblib xgboost scikit-learn uvicorn python-multipart
  This Command install required library
-> run this command to run server : uvicorn main:app --reload

Here You Go, Explore Project And Contribute 🚀
Happy Coding ✌️🙂

About

RetailRevolutioner, aims to provide a solution to the problem of accurately predicting consumer behavior in the retail industry. Our web application will analyze past sales data from clients to provide accurate predictions of which items will be the most popular in the coming month

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published