Skip to main content

A lightweight modular AI framework for learning and experimentation

Project description

🧠 ZAI Core — Muhammad Zaidan

Lightweight AI Core System for Modular Learning and Experimentation


🧩 Overview

ZAI Core (Zaidan Artificial Intelligence Core) is a lightweight, modular AI framework designed to serve as the foundation for my future AI experiments.
It focuses on simplicity, extensibility, and a deep understanding of how intelligent systems can be built from the ground up.

Status: 🧠 Initial Research Phase
Goal: Build the base logic layer that can evolve into an independent AI core system.


🎯 Objectives

  • Design a modular architecture for handling AI logic and decision-making
  • Create reusable components for data preprocessing, intent recognition, and model management
  • Build a framework that supports integration with my other projects (AI Agent, Portfolio Website)
  • Document every part of the development for transparency and learning

⚙️ Planned Features

  • 🧠 Core Logic Engine (ZAI Brain)
  • 🧩 Module Loader System
  • 🗂️ Data Preprocessing Utilities
  • 🔄 Intent Recognition System
  • 🌐 API-ready structure for future integration

🧠 Tech Stack

Category Tools
Language Python 3.x
Libraries NumPy, Pandas (optional)
Design Pattern Modular Architecture
Environment Linux / Windows, VS Code
Version Control Git & GitHub

🏗️ Folder Structure

zaicore/
│
├── src/                         # source code utama
│   ├── core.py                  # base ZAI brain system
│   ├── __init__.py              # module initializer
│   └── utils/                   # helper functions
│       └── data_handler.py
│
├── docs/                        # architecture & notes
│   └── architecture.md
│
├── tests/                       # test files
│
└── README.md                    # documentation (this file)

📅 Development Roadmap

Phase Description Status
Research Define ZAI core structure and logic flow ✅ Done
Prototype Build the first version of core.py 🧩 In Progress
Integration Connect with AI Agent ⏳ Planned
Release Package version 0.1 for GitHub ⏳ Planned

🚀 Usage (later)

# Clone the repository
git clone https://github.com/muhammadzaidanf/zaicore.git
cd zaicore

# Run example (once available)
python src/core.py

🧭 Vision

“ZAI Core isn’t just another framework —
it’s my blueprint for understanding how artificial intelligence can think, adapt, and evolve.”


🧑‍💻 Author

Muhammad Zaidan Faiz
💼 LinkedIn
📧 muhammadzaidanfaiz8@gmail.com
🌍 GitHub


“Build systems that don’t just compute — but learn.”

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zaicore-0.1.0.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

zaicore-0.1.0-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file zaicore-0.1.0.tar.gz.

File metadata

  • Download URL: zaicore-0.1.0.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for zaicore-0.1.0.tar.gz
Algorithm Hash digest
SHA256 839edcd01d747a7be382a779fec3910ae1130826ef8658e084fc1a1e5d754f22
MD5 da684d04b6deca495d86cc9747f270ec
BLAKE2b-256 2c61df34121f18f17814cb818a9328ae7c422fbdc16423afe0e5caced32cf197

See more details on using hashes here.

File details

Details for the file zaicore-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: zaicore-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for zaicore-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a7dc83d866fbaee21ae424451ae82d193986d21403ba1096b88a65efe8175d04
MD5 b46ef107ae69511145598f6c3b03c09b
BLAKE2b-256 9db66d5b746b4a24a3bc4990679d5be11b3bf224a2d984ab3e1f9e94715f2f77

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page