Want to build a complete Fullstack Python application in record time using the power of AI? 🚀
In this comprehensive, hands-on tutorial, we walk step-by-step through building a real-world "Online Self-Study Portal" from scratch. Building real-world applications is the absolute best way to master a tech stack, and today, we are combining traditional development with cutting-edge AI coding assistants!
We dive deep into Django's MVT (Model-View-Template) architecture to create a robust backend and connect it to a dynamic frontend. Instead of writing every line manually, you will learn how to leverage AI tools like Gemini to generate our project blueprint and use OpenAI Codex and Anti-gravity to write, debug, and deploy the code directly inside our IDE.
💡 What You Will Learn in This Video:
AI-Assisted Architecture: How to use Gemini to create a complete case study, database schema, and exact prompts for your project.
Django MVT in Action: Setting up Models, Views, and Templates for a seamless Fullstack application.
Advanced Dashboard Features: Building a personalized dashboard with user authentication (Login/Register), a Pomodoro focus timer, and a daily task tracker.
Document Management: Creating a PDF uploader and reviewer for students to manage their study materials.
Data Analytics: Implementing weekly and monthly progress trackers using SQLite and Django Admin.
⏳ Video Chapters:
0:00 Introduction to the Fullstack Python Project
2:33 Using Gemini for Project Planning & Prompts
6:15 Setting up CodeX & Visual Studio Code Environment
13:51 Installing SQLite Viewer for Database Management
16:18 Reviewing the Django Models and Architecture
17:46 Generating Views and Forms with Anti-Gravity AI
23:51 Accessing the Django Admin Panel & Creating a Superuser
32:07 Testing User Authentication (Login & Register Pages)
42:30 Implementing the Personalized Dashboard View
49:40 Adding a To-Do List & Weekly/Monthly Analytics Tracker
1:01:02 Creating and Uploading New Courses in the Dashboard
🛠️ Tools & Resources Mentioned in This Video:
Google Gemini (For Planning & Prompts): https://gemini.google.com/
Visual Studio Code (IDE): https://code.visualstudio.com/
Cursor (Alternative AI Code Editor): https://www.cursor.com/
OpenAI Codex: https://openai.com/blog/openai-codex
Django Framework: https://www.djangoproject.com/
Python: https://www.python.org/downloads/
SQLite Viewer (VS Code Extension): Search "SQLite Viewer" in your VS Code Extensions tab.
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Drop a comment below: What feature are you going to build next using AI coding tools? 👇
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