Career Prediction System

This project leverages machine learning to predict suitable career paths based on user input. By analyzing academic performance, skills, and interests, the system provides career recommendations tailored to the user's profile.

Features

• Personalized Career Recommendations based on academic data and skill set.
• Machine Learning Model trained to classify career paths using user inputs.
• Interactive User Interface for input submission and viewing career suggestions.

Technologies Used

• Python - Core programming language.
• Scikit-learn - For building and training the machine learning model.
• Flask - Web framework for creating the user interface.
• HTML/CSS - Frontend for user input and result display.

Setup Guide

1. Clone the Repository

   git clone https://github.com/kzohan2000/Carrer_PredictionSystem.git
   cd Carrer_PredictionSystem

2. Install Dependencies

   pip install -r requirements.txt

3. Run the Application

   python app.py

4. Access the Web App

   Open your browser and navigate to http://localhost:5000 to start using the Career Prediction System.

License

This project is licensed under the MIT License. See the LICENSE file for more details.