This repo is a webapp which does prediction for MBA students using Artifical Neural Network in the backend (served via Flask) and uses React.js and Material UI in frontend.
Dataset is downloaded from kaggle. https://www.kaggle.com/benroshan/factors-affecting-campus-placement
placement_status.py will predict based on their input wheter they will get placement or not in Campus recruitment, this python file is used to generate the api.py Accuracy of 91 percent.
To start the frontend client
cd frontend && npm i && npm start
To start the Flask API server
cd frontend && npm run start-api
This project was bootstrapped with Create React App.
In the frontend directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
Starts the backend Flask server located in top level api/ directory
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.