Placement Prediction in ML using Flask

The motive behind this project is to predict the chance or probability of students getting placed in campus placement drives. Our motive would be to create a full working application that would make predictions. For all this, we require a basic knowledge of Flask, HTML, and Machine Learning. We’ve taken historical campus placement data and constructed a robust model that can forecast your chances of getting placed.

Topics Covered

• Virtual Environment Setup
• ML model for predictions
• Integration with Flask
• Deployment on the local host

Machine learning is a widely employed method for making predictions. Numerous algorithms are accessible in different libraries for predictive tasks. In this article, we’ll construct a placement prediction model using Random Forest Classifier with historical data and later we will store that model to .pkl file to integrate it with our Flask app using Python.