🎓 AI-Based Learning Style Predictor

An interactive Streamlit web application that helps users identify their dominant learning style — Visual, Auditory, or Kinesthetic — through a short quiz powered by Machine Learning.

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📌 Try It Out

👉 Click here to launch the app on Streamlit Cloud

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🧠 About the Project

This project aims to make learning personalized by helping users discover how they learn best:

• 📊 Uses a trained Machine Learning model.
• 📝 Takes inputs from a custom-designed 10-question quiz.
• 🧑‍🏫 Predicts if the user is a Visual, Auditory, or Kinesthetic learner.
• 💡 Offers in-depth explanations, study tips, and useful learning resources for each style.

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💻 Tech Stack

Technology	Purpose
Python	Core programming language
scikit-learn	Model training and prediction
Streamlit	Web app frontend
joblib	Model serialization
JSON	Question handling
GitHub	Code hosting and version control
Streamlit Cloud	App deployment

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📂 Project Structure

├── app.py                    
├── learning_style_model.pkl   # Trained ML model 
├── questions.json             # Quiz questions 
├── learning_style_dataset.csv # Dataset used for training 

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🔍 Learning Styles Explained

Learning Style	Description
👁️ Visual	Learns best with images, diagrams, color codes
🎧 Auditory	Learns best through listening, speaking aloud
🤸 Kinesthetic	Learns by doing, movement, and hands-on activities

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🛠 How to Run Locally

1. Clone the repogit

      git clone                https://github.com/RohithReddyGK/AI-Based-Learning-Style-Predictor.git

2. Install dependencies:

      pip install -r requirements.txt

3. Run the app:

      streamlit run app.py

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🙋‍♂️ Author

Made with ❤️ by Rohith Reddy.G.K

🔗 Github: @RohithReddyGK
🔗 LinkedIn: @rohithreddygk

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