https://github.com/projects-developer/fitness-tracker-using-machine-learning

Our innovative fitness tracker leverages machine learning algorithms to provide personalized insights and recommendations, empowering you to achieve your fitness goals
https://github.com/projects-developer/fitness-tracker-using-machine-learning

activityrecognition digitalhealth fitness-tracker fitnessanalytics healthanalytics machine-learning machinelearninginhealthcare wearabletechnology

Last synced: 3 days ago
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Our innovative fitness tracker leverages machine learning algorithms to provide personalized insights and recommendations, empowering you to achieve your fitness goals

• Host: GitHub
• URL: https://github.com/projects-developer/fitness-tracker-using-machine-learning
• Owner: Projects-Developer
• Created: 2024-12-20T08:11:27.000Z (19 days ago)
• Default Branch: main
• Last Pushed: 2024-12-20T08:49:21.000Z (19 days ago)
• Last Synced: 2024-12-20T09:26:42.535Z (19 days ago)
• Topics: activityrecognition, digitalhealth, fitness-tracker, fitnessanalytics, healthanalytics, machine-learning, machinelearninginhealthcare, wearabletechnology
• Homepage: https://www.finalproject.in/
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Fitness-tracker-using-Machine-Learning

Fitness tracker using Machine Learning with code, Documents and Video Tutorial

![fitness](https://github.com/user-attachments/assets/7cbb6148-87ca-4612-98a4-26c969325206)

## Youtube link: https://youtu.be/LbjWU1gbjCU?si=JgyQmeMVG47xvq3h

 ## Abstract:

This paper presents a novel fitness tracker that leverages machine learning algorithms to provide personalized fitness and health insights. The wearable device tracks various physiological and physical parameters, including heart rate, sleep patterns, and activity levels. Machine learning algorithms analyze these data to identify patterns, detect anomalies, and offer tailored recommendations for improvement. The system aims to enhance user engagement, motivation, and overall well-being, while providing a more accurate and effective approach to fitness tracking

Keywords: Machine Learning, Fitness Tracker, Wearable Technology, Personalized Medicine, Health Monitoring.

### Project include: 

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ? 

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### Mail : [email protected] 

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