place_predict

🎓 Student Placement Prediction

A Machine Learning web application that predicts whether a student is likely to get placed based on academic and skill-based attributes.

🚀 Features

• Student placement prediction
• Random Forest Classifier
• Interactive Gradio web interface
• Probability score
• Easy deployment on Hugging Face Spaces

🛠️ Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Gradio
• Joblib

📂 Project Structure

placement_project/
│
├── app.py
├── train_model.py
├── requirements.txt
├── README.md
├── .gitignore
│
├── dataset/
├── model/
├── notebooks/
└── screenshots/

▶️ Run Locally

Install dependencies:

pip install -r requirements.txt

Run:

python app.py

📊 Machine Learning

• Algorithm: Random Forest Classifier
• Data Preprocessing:
  • Missing value handling
  • One-Hot Encoding
  • StandardScaler
• Evaluation:
  • Accuracy
  • Classification Report
  • Confusion Matrix

👨‍💻 Author

Ravi Kandoriya