Classical-AI

This GitHub repository is dedicated to storing and managing all the AI Alogrithms that we learn and implement in our AI course in 3rd semester at Sitare University. Throughout the semester, I will be working on various Algorithms that are used in games and puzzel solving in real life. In this course our main objective is to learn AI algorithms and analyse their behaviours and real life applications in the field of AI and Computer science. There all are self implemented code.

Dive into assignments reinforcing theory and projects applying practical skills. Contribute and collaborate to enhance this learning hub. 🚀 #ClassicalAI #AIML

This repository is organized to showcase my work throughout the course, and it will be regularly updated with new assignments and projects.

Course Advisor: Dr. Kushal Shah Profile

Table of Contents

• Graphs
• Trees
• Uninformed Search Strategies
  • BFS
  • DFS
• Informed Search Strategies
  • GBFS
  • A Star
• Alpha-Beta Pruning
• Knowledge Representation
• Adversarial search
• Constraint Satisfaction Problems
  • Forward Chaining
  • Backtracking
• Logical Agents
• AI Planning

Assignments:

• Breadth First Search
• Depth First Search
• Greedy Best First Search
• A Star

About the Course

This course covers various aspects of Classical AI. It includes theoretical concepts as well as hands-on assignments and projects to deepen understanding and practical skills.

I cordially invite you to explore the codebase and give your valuable feedback and suggestions.