Calories Burned Prediction App

This is a Streamlit web application that predicts the number of calories burned based on user input features such as gender, age, height, exercise duration, heartrate, body temperature, and BMI. The app uses a pre-trained machine learning model to make the predictions.

Features

• User Input: Users can input their details using sliders and select boxes in the sidebar.
• Calories Burned Prediction: The app predicts the number of calories burned based on the input features.
• Funny Quotes: The app displays a random funny quote related to exercise and calories.
• Feedback: The app provides feedback based on the predicted calories burned.

File Structure

• app.py :The main Streamlit application script
• model.pkl : The pre-trained machine learning model used for prediction
• READ.md: This file, providing an overview of the project.

Requirements

• Python 3.6+
• Streamlit
• Pandas
• Numpy
• Scikit-learn

License

This project is licensed under the MIT Licence.

Acknowledgments

• The pre-trained model used in this was was created using Scikit-learn.
• Funny quotes were collected from various sources on the internet.

How to Use

1. Clone the Repository: ```bash git clone https://github.com/bimal1023/Machine-Leanring-App cd Machine-Learning-App 2. Install Dependencies: Make sure you have Python installed. Then, install the required packages using pip: pip install streamlit pandas numpy scikit-learn 3. Run the App streamlit run app.py

Built With

• numpy
• pandas
• python
• scikit-learn