Podometer App

A simple step counter web application that uses the LinearAccelerationSensor API to detect user steps in real time.
The app also allows users to create custom step-by-step goals and visually mark goals as completed.

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🚶 Features

✅ Real-time Step Detection

• Uses the device’s accelerometer through the LinearAccelerationSensor.
• Dynamically calculates thresholds to detect steps more accurately.
• Works on mobile devices that support motion sensors.

🎯 Objectives System

• Create custom step goals.
• Each objective shows:
  • Steps at the moment it was created.
  • The goal target.
  • Live updates as you keep walking.
• Objectives automatically switch to DONE when completed.
• Delete individual objectives or clear them all.

📱 Responsive Design

• Fully optimized for mobile, tablet, and desktop.
• Uses CSS media queries for adaptive layout scaling.

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🛠 Technologies Used

• HTML5
• CSS3
• JavaScript (Vanilla)
• Generic Sensor API (LinearAccelerationSensor)

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📡 Requirements for Step Detection

To detect steps, the device must:

• Support the LinearAccelerationSensor API.
• Allow motion sensor permissions.
• Use Chrome for Android or any browser supporting Generic Sensors.
• Work over:
  • HTTPS

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🚀 How to Run Locally

1. Clone the repository:

git clone https://github.com/nicoars1/Podometer-app
cd podometer

## 📂 Project Structure
/podometer
│── index.html
│── style.css
│── script.js          # Handles step detection
│── objetives.js       # Handles objective creation & updating
└── README.md

💡 Notes

Step detection works best on physical mobile devices. Not all laptops support motion sensors. The app runs fully client-side (no backend required).

📜 License

This project is open-source and available under the MIT License.