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AI-ML-Playground: Beginner-Friendly AI & ML Project Hub

Learn AI and ML | Hands-On Projects

Welcome to the AI-ML-Playground repository! This space is dedicated to helping beginners dive into Artificial Intelligence and Machine Learning through hands-on projects. Get Started with the Project List

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What You'll Find Here

In this repository, you will find a collection of beginner-friendly AI and ML projects designed to help you learn and grow your skills. Each project is organized into its folder and includes everything you need to build a fully functional AI/ML application.

What's Included

  1. Project Folders: Each project has a repository containing all the necessary files and resources.
  2. YouTube Tutorials: Every project is accompanied by a detailed YouTube tutorial that guides you through the entire process, from start to finish.
  3. ML Model Development Life Cycle: For each project, you'll follow the complete ML model development life cycle, including:
    • Problem Definition
    • Data Collection and Preparation
    • Model Selection
    • Model Training and Evaluation
    • Model Deployment
  4. Backend API: Learn how to create backend APIs for your models using popular frameworks.
  5. Frontend: Simple frontend implementations to interact with your AI/ML models.

Projects

Each project is designed to provide a practical, real-world application of AI and ML concepts. As you work through these projects, you will:

  • Gain a solid understanding of the fundamental principles of AI and ML.
  • Learn how to preprocess and clean data.
  • Understand how to select and train models.
  • Develop skills in evaluating model performance.
  • Get hands-on experience in deploying models and creating APIs.
  • Build simple frontends to interact with your AI/ML applications.

How to Use This Repository

  1. Select the Project: Choose a project you are interested in from the table. It will redirect you to the correct repository.
  2. Follow the YouTube Tutorial: Open the YouTube tutorial linked in the project's README file and follow along.
  3. Run the Code: Execute the code in your local environment, following the instructions in the tutorial and README file.
  4. Experiment and Learn: Modify the code, experiment with different approaches, and learn by doing!

Get Started

πŸ”₯ Ready to start your AI/ML journey? πŸ‘Š
πŸ‘‡ Check out the list of projects and pick one that excites you. Happy coding! 😎


Project Name Difficulty Description Repository Link YouTube Tutorial
Chatbot with OpenAI API Easy Simple Chatbot in your terminal Repo Tutorial
Piper with Python Medium Text-to-Speech with Piper using Python Repo Tutorial
MalDitectist Advanced Malware Detection using ML and DL Repo Tutorial
Chatbot with Gemini API Easy Coming Soon!!! Repo Tutorial
Custom AI Assistant Advanced Coming Soon!!! Repo Tutorial

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