Design and deploy a student-friendly mobile app to predict his/her chances of securing a placement/job
- Interpreted placement data of 300 students to save the model as a PKL file considering Random Forest Classifier
- Built a Flask app for deployment and used it to test URL requests with the help of Postman software
- Integrated the app results to execute a mobile-friendly app via JavaScript and XML in Android Studio
Result: Deployed the Flask app on Heroku and generated student placement results focusing on CGPA through a mobile app
- Python
- PyCharm
- Git
- Heroku
- Android Studio (JavaScript and XML)