🎓 Career Prediction App

A full-stack machine learning application that predicts a student's likely future career path based on academic, behavioral, and personal traits. This project was built in just 8 hours during the HackMarch Hackathon at KLE Society.

It features a Python backend with a trained ML model using AutoGluon, and a simple frontend built with HTML, CSS, and JavaScript.

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🚀 Project Highlights

• 🔍 Predicts career goals from personal and academic inputs
• 🧠 AutoML-based model using AutoGluon (TabularPredictor)
• ⚖️ Dataset balancing using undersampling
• 🎯 Achieved 85%+ training accuracy
• 🌐 Interactive frontend built with plain HTML/CSS/JS
• 📦 Backend model and artifacts saved for deployment

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📁 Project Structure

career-prediction/
├── backend/
│   ├── career_predictor.py
│   ├── improved_model_v2/
│   │   ├── models/
│   │   ├── fill_values.pkl
│   │   └── used_features.pkl
│   └── train_data1.csv
├── templates/
│   ├── index.html
├── static/
│   ├── style.css
└── README.md (this file)

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⚙️ Tech Stack

Frontend:

• HTML/CSS
• JavaScript

Backend:

• Python
• pandas
• scikit-learn
• AutoGluon
• joblib

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🧠 ML Model Details

• Target: "What would you like to become when you grow up"
• Preprocessing:
  • Null handling
  • Feature engineering: Tech_Level from Tech-Savviness
  • Data type conversion
  • Balancing classes via undersampling
• Model: AutoGluon.TabularPredictor
• Evaluation: Accuracy score and leaderboard

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🧪 How to Run the Project

🔧 Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install required packages:

   pip install pandas scikit-learn autogluon joblib flask

3. Run the backend server:

   python app.py

4. Open http://localhost:5000 in your browser.

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📊 Input Features (Sample)

• Academic Performance (CGPA/Percentage)
• Tech-Savviness
• Daily Water Intake
• Number of Siblings
• Participation in Extracurricular Activities
• Risk-Taking Ability
• Leadership Experience
• Networking & Social Skills
• Previous Work Experience

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🎯 Output

The model predicts the career goal, such as:

• Engineer
• Doctor
• Artist
• Researcher
• Entrepreneur
• And more...

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🙌 Acknowledgments

• Project built during HackMarch 2025 at KLE Society
• Thanks to all organizers and mentors for their support!

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📄 License

This project is open-source and free to use for educational and research purposes.

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