AI Full Stack App | Django | Next.js | OpenAI | Fitness App

AI Full Stack App | Django | Next.js | OpenAI | Fitness App

Free

In this lesson, we build a complete AI-powered application using Django and Next.js.

The app generates workout plans, meal plans, and images using AI, stores all data in Django, and displays everything through a modern, professional Next.js frontend.

Every step is explained in detail — starting from API design, data processing, and AI content generation, all the way to rendering the final results in the frontend.

This lesson is ideal for developers who want to learn how to build real-world AI applications with a solid backend and a modern frontend architecture.

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Overview

In this lesson, we build a complete AI-powered application using Django and Next.js.

The app generates workout plans, meal plans, and images using AI, stores all data in Django, and displays everything through a modern, professional Next.js frontend.

Every step is explained in detail — starting from API design, data processing, and AI content generation, all the way to rendering the final results in the frontend.

This lesson is ideal for developers who want to learn how to build real-world AI applications with a solid backend and a modern frontend architecture.

What you will learn

  • Build a complete AI-powered backend using Django

  • Design and implement RESTful APIs in Django for AI-driven applications

  • Generate AI-powered workout plans and meal plans

  • Integrate AI image generation into a Django-based system

  • Handle AI requests, responses, and prompt management on the backend

  • Store and manage generated AI data securely using Django models

  • Connect Django APIs with a Next.js frontend

  • Manage data flow between backend and frontend efficiently

  • Build a modern, scalable frontend in Next.js to display AI-generated content

  • Implement best practices for full-stack architecture and data handling

  • Structure a real-world AI application from backend to frontend

  • Understand how to scale and extend AI features in production-ready apps

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