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Fitness Tracking App

Fitness Tracking App

Flutter Node.js MongoDB TensorFlow Lite Firebase Express.js JWT

Project Overview

<p>An intelligent fitness companion application that helps users achieve their health goals through personalized tracking and AI-driven recommendations.</p>

<h4>Comprehensive Features:</h4>
<ul>
<li><strong>Workout Tracking:</strong> Log exercises, sets, reps, and weights with exercise library</li>
<li><strong>Nutrition Diary:</strong> Track calorie intake with barcode scanner and food database</li>
<li><strong>Health Metrics:</strong> Monitor weight, body measurements, and progress photos</li>
<li><strong>AI Recommendations:</strong> Personalized workout and nutrition plans using TensorFlow Lite</li>
<li><strong>Wearable Integration:</strong> Sync with Apple Health, Google Fit, and Fitbit</li>
<li><strong>Progress Analytics:</strong> Visual charts and insights for performance tracking</li>
<li><strong>Social Features:</strong> Share achievements and join fitness communities</li>
<li><strong>Workout Plans:</strong> Pre-designed and custom workout routines</li>
<li><strong>Reminder System:</strong> Schedule workouts and hydration reminders</li>
<li><strong>Offline Mode:</strong> Full functionality without internet connection</li>
</ul>

<h4>Technical Implementation:</h4>
<p>Cross-platform mobile app built with Flutter for consistent iOS and Android experience. Node.js backend with Express.js for API services. MongoDB for flexible data schema. TensorFlow Lite for on-device AI processing. Firebase for authentication and push notifications.</p>

Project Details

Created

February 2026

Views

17

Category

Mobile, Ai

Status

published

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