How to Build and Deploy Full Stack AI Fitness App Using React JS and Strapi - Step-by-Step Tutorial
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Learn to build and deploy a comprehensive AI-powered fitness application using React JS, Strapi, and Google Gemini AI in this step-by-step tutorial. Master full-stack development by creating a real-world application that enables users to set fitness goals, track calorie intake, log workouts, and automatically analyze food images for calorie calculation using artificial intelligence. Develop essential features including user authentication with sign-up and sign-in functionality, profile management, daily goal setting, food intake tracking, and fitness activity monitoring. Implement AI-powered food tracking by integrating Google Gemini AI for automatic food image analysis and calorie calculation. Build a modern, responsive user interface using Tailwind CSS with components including dashboard, food logs, activity logs, onboarding pages, sidebar navigation, and mobile menu. Create a robust backend using Strapi headless CMS to handle API endpoints, user data management, and authentication. Connect the React frontend with Strapi backend APIs to create a seamless full-stack application. Deploy both frontend and backend components online using free platforms including Strapi Cloud and Vercel for production-ready hosting. Gain hands-on experience with modern web development technologies while building a portfolio-worthy project suitable for students, beginners learning full-stack development, and developers interested in AI-powered web applications.
Syllabus
Project Overview
Create Frontend using React
Create Sign in / Sign up page
Create Onboarding page
Create Sidebar and mobile menu
Create Dashboard page
Create Food Logs page
Create Activity logs page
Create Profile page
Create Backend Server with Strapi
Analyze food images using Google Gemini AI
Connect Backend API with frontend
Deploy project online
Taught by
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