AI Lab: KIIT Semester 6

This repository contains Python implementations of lab assignments for the Artificial Intelligence Laboratory in Semester 6 at KIIT University.

📂 Folder Structure

Each assignment is organized in its respective folder:

ai_lab_python/
├── assn1/    # Basic Python and AI logic exercises
├── assn2/    # Search algorithms and sorting techniques
├── assn3/    # Decision making / logic-based implementation
├── assn4/    # Rule-based system or logical inference
├── assn5/    # Constraint Satisfaction / Backtracking
├── assn6/    # AI planning or informed search (if applicable)
├── assn7/    # Probabilistic reasoning or expert systems
├── assn8/    # Learning algorithms or evaluation metrics
├── assn9/    # Advanced AI applications or NLP basics
├── assn10/   # Neural Networks / ML concepts
├── test.py   # Miscellaneous test script

🧠 Topics Covered

• Python Foundations for AI
• Search Algorithms (DFS, BFS, etc.)
• Sorting Techniques
• Rule-Based Systems
• Constraint Satisfaction Problems
• Game Logic
• Probabilistic Reasoning
• Learning Algorithms
• Neural Networks
• Introduction to ML Concepts

⚙️ Technologies Used

• Python 3.x
• NumPy (where applicable)
• VS Code (development environment)

🚀 Getting Started

1. Clone the repo:

git clone https://github.com/leafycodes/AI-Lab-Solutions-KIIT-S6.git
cd AI-Lab-Solutions-KIIT-S6/codes

2. Run any program from its respective folder:

python 01-add.py  # Example from assn001

Note: Some folders may contain multiple scripts; read the code comments for context.

👨‍💻 Author

Anish
3rd Year B.Tech CSE
KIIT University