An Initiative of Ministry of Education under the National Mission on Education through ICT

Artificial Intelligence Virtual Lab

Broad Areas of Virtual Labs
Computer Science & Engineering
AMRITA VISHWA VIDYAPEETHAM
Introduction

Artificial Intelligence (AI) is one of the fastest growing disciplines in Computer Science and Engineering and focuses on enabling computers to make intelligent decisions in different environments. Although AI is often taught from a theoretical perspective, students frequently find it difficult to visualize the internal working of search algorithms and their applications in real-world problem solving. The Artificial Intelligence Virtual Lab provides an interactive environment where students can explore and visualize various AI search algorithms through simulations and animations. The lab allows students to run algorithms on different types of data and observe their behavior, enabling a better understanding of their functioning and their time and space complexities.

Objective

The objective of this lab is to help students understand and visualize the working of fundamental Artificial Intelligence search algorithms. Through interactive simulations, students will learn how algorithms such as Random Search, Depth First Search, Breadth First Search, Best First Search, Heuristic Search, A* Search, and Mini-Max operate in solving complex problems. The lab aims to complement theoretical learning by allowing students to experiment with these algorithms, analyze their performance, and understand their applications in real-world scenarios.

Target Audience

  • UG
    • Undergraduate Students
  • PG

Course Alignment

The syllabi of this lab aligns to the following universities in India.

  1. AICTE – Artificial Intelligence
  2. Undergraduate Artificial Intelligence courses offered in Computer Science programs
  3. Universities offering AI and Data Science programs such as KPR Institute of Engineering and Technology, Modern College of Engineering (Pune), and K.S. Rangasamy College of Technology.

Allocated University

No university information available.

Reference Books

No reference books available.

Lab Contact Person

Pavithra S P,
Project Lead,
VALUE
9496395055