POSE - Posture Observation and Smart Evaluation

PosturePal is a smart application designed to monitor and improve your posture using real-time webcam analysis and machine learning. It provides real-time feedback, customizable alerts, and detailed statistics to help users maintain good posture and prevent health issues caused by prolonged bad posture.

Features

1. Real-Time Posture Monitoring

   • Detects good and bad posture using a webcam and Mediapipe.
   • Provides real-time feedback on posture status.

2. Customizable Alerts

   • Configurable alert duration for posture correction.
   • Notifications to remind users to correct their posture.

3. Custom Posture Data Collection

   • Allows users to capture their own good and bad posture data.
   • Trains a personalized machine learning model for advanced posture detection.

4. Statistics and Visualization

   • Displays total monitoring time, good posture time, and bad posture time.
   • Includes a pie chart for posture breakdown.
   • Weekly activity bar graph for posture trends.

5. Settings Customization

   • Toggle notifications and monitoring modes (Normal/Advanced).
   • Save and load user preferences.

Technical Details

1. Programming Language

   • Python

2. Libraries and Frameworks

   • GUI: CustomTkinter
   • Machine Learning: Scikit-learn
   • Pose Detection: Mediapipe
   • Data Visualization: Matplotlib, mplcursors
   • Notifications: Plyer

3. Database

   • SQLite for storing daily posture statistics.

Installation

1. Prerequisites

   • Python 3.10 or higher installed on your system.

2. Clone the Repository

   git clone https://github.com/your-repo/posturepal.git  
   cd posturepal  

3. Install Dependencies
   Install the required Python libraries using pip:

   pip install -r requirements.txt  

4. Run the Application
   Run the application using the following command:

   python app.py  

Usage

1. Monitor Tab

   • Click "Start Monitoring" to begin posture monitoring.
   • View real-time posture status (Good/Bad).

2. Statistics Tab

   • View total monitoring time, good posture time, and bad posture time.
   • Analyze posture trends using the pie chart and weekly activity bar graph.

3. Settings Tab

   • Customize alert duration and toggle notifications.
   • Switch between Normal and Advanced monitoring modes.

4. Custom Posture Data

   • Capture good and bad posture data in the "Capture Posture Data" window.
   • Train a personalized machine learning model for posture detection.