In this tutorial, I build and deploy a full stack AI fitness tracker app step-by-step using React (Vite + TypeScript), Tailwind CSS, and a Strapi backend. I start by showing you the full demo flow: sign up/login, onboarding (age, weight, height), choosing a goal (lose/maintain/gain) with a target slider, and then landing on the dashboard where you can track calories consumed vs calories burned, see today’s summary, and view graphs. After that, I implement the core logging features: food logs grouped by meal type, activity logs with quick-add buttons (like swimming) and custom entries, plus a profile page where you can update user details and see today’s totals. The highlight is the AI feature: you upload a food image and I analyze it using the free Google Gemini API to auto-fill the food name and calories, and I even assign the meal type based on the current time. Finally, I walk through the real project setup: creating the React client, adding Tailwind and Google Fonts, setting up React Router routes with a layout + outlet, organizing components/pages/types, and building theme switching (light/dark) using Context + localStorage + system preference. Then I deploy everything for free using Strapi Cloud (backend) and Vercel (frontend) so you can use the live link in your resume or submit it as a college project.