Build and Deploy a Fullstack AI App with Flask, React, JWT, Neon Database, Mistral & Groq Cloud – Project Milo Part 1 (Backend)

In this video, we’re building Milo, a fullstack AI assistant app using Flask, React, JWT authentication, and powerful Groq Cloud AI models like Mistral, Gemma, LLaMA, and more.

💻 On the backend, we’ll create APIs with Flask, secure them with JWT, and connect to different AI models using Groq Cloud.

🚀 Whether you want to integrate your own AI assistant or explore Mistral models in a real project, this video is for you.

Technologies used:

• Flask (Python)
• React (in upcoming Part 2)
• JWT Authentication
• Mistral AI
• Groq Cloud
• Postman

Chapter

• Hello World with Flask
• Models Concepts: Create Models (User & Prompt)
• Routes Concepts: Auth Route & Test with Postman
• Use Mistral AI: Create, Read, Update, Delete Prompts
• OpenAI vs Groq AI API Overview
• First Deployment with Mistral AI
• Use Other AI Models via Groq Cloud
• Install Groq Cloud, Create Routes & Test with Postman
• Second Deployment & Test Groq Models (Gemma, LLaMA, Mistral, DeepSeek...)

🧠 By the end of this video, you’ll be able to:

• Build a secure backend with Flask and JWT
• Interact with multiple AI models via Groq Cloud
• Deploy and test your app with real prompts

Ressources

• Mistral API: https://console.mistral.ai/home
• Groq Cloud: https://console.groq.com/home
• Neon Database: https://neon.com/
• Deployment: https://render.com/