AIO-2025 Course Projects

This repository stores projects by dangleh for the AIO-2025 course at AI VIET NAM
Contact email: [email protected]

📁 Repository Structure

The repository is organized with a module structure containing 2 projects per module:

aio2025-course-projects/
├── module-1/
│   ├── project-1.1-streamlit/     # Streamlit Tutorial
│   └── project-1.2-rag-chatbot/   # RAG Chatbot
├── module-2/
│   ├── project-2.1/               # TBD
│   └── project-2.2/               # TBD
├── module-3/
│   ├── project-3.1/               # TBD
│   └── project-3.2/               # TBD
├── module-4/
│   ├── project-4.1/               # TBD
│   └── project-4.2/               # TBD
└── pyproject.toml                 # Root dependencies

🛠️ Installation and Usage

System Requirements

• Python >= 3.8
• uv (Python package manager)

Install uv

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Run Project

# Navigate to project directory
cd module-1/project-1.1-streamlit

# Install dependencies
uv sync

# Run application
uv run streamlit run app.py

📚 Modules

Module 1: Python Fundamentals

Project 1.1 - Streamlit Tutorial

• Description: Basic Streamlit tutorial with factorial calculator and grade analysis applications
• Technologies: Streamlit, Pandas, NumPy
• Features:
  • Factorial calculator application
  • Student grade analysis dashboard
  • Basic Streamlit components tutorial

Project 1.2 - RAG Chatbot

• Description: RAG Chatbot built from PDF files using LangChain
• Technologies: LangChain, OpenAI, FAISS, Streamlit
• Features:
  • PDF document processing and reading
  • Vector embeddings creation
  • RAG (Retrieval-Augmented Generation) chatbot
  • Web interface with Streamlit

Module 2: TBD

Projects will be updated in the future

Module 3: TBD

Projects will be updated in the future

Module 4: TBD

Projects will be updated in the future

🔧 Development

Project Structure

Each project follows a standard structure:

project-name/
├── pyproject.toml      # Dependencies and configuration
├── app.py             # Main application
├── src/               # Source code
├── tests/             # Unit tests
├── data/              # Sample data
└── README.md          # Project documentation

Code Style

• Use Black for code formatting
• Use Flake8 for linting
• Use pytest for testing

Run Tests

uv run pytest

Format Code

uv run black .

📝 License

MIT License