About us

Objective

To provide an immersive learning environment for students pursuing Artificial Intelligence and Software Engineering. Our goal is to make complex concepts attainable through engaging, hands-on virtual lab experiences.

Philosophy

We believe in learning by doing. Using Virtual Lab is key to mastering AI and software development. We aim to foster continual innovation and a deeper understanding of software engineering principles.

Salient Features

Our Virtual Lab provides an immersive learning environment with interactive simulations, real-world applications to bridge the gap between theory and practice. It features hands-on coding exercises, AI model training simulations, and comprehensive software engineering and DevOps labs.

Virtual Lab

Our Virtual Lab offers an integrated platform for learning and practicing Software Engineering for AI. It simulates real-world scenarios, allowing students to experiment with AI algorithms, software development methodologies, and process optimization.

Under the guidance

Dr. T. Grace Shalini

Dr. T. Grace Shalini

Assistant Professor

gracesht@srmist.edu.in

9715142047

DEPARTMENT

Computational Intelligence, Faculty of Engineering & Technology, Kattankulathur,Chennai

EXPERIENCE

6+ years of experience

RESEARCH INTEREST

IMAGE PROCESSING, NETWORKS, ARTIFICIAL INTELLIGENCE, IOT

Developers

Vaibhav

Vaibhav

Batch: 2026

Registration No: RA2211026010308

Department: Computational Intelligence

Sukrit

Sukrit

Batch: 2026

Registration No: RA2211026010279

Department: Computational Intelligence

Lakshaya

Lakshaya

Batch: 2026

Registration No: RA2211026010342

Department: Computational Intelligence

Sarah

Sarah

Batch: 2026

Registration No: RA2211026010344

Department: Computational Intelligence

Aayush

Aayush

Batch: 2026

Registration No: RA2211026010292

Department: Computational Intelligence

Rudraksh

Rudraksh

Batch: 2026

Registration No: RA2211026010274

Department: Computational Intelligence

Pushkin

Pushkin

Batch: 2026

Registration No: RA2211026010280

Department: Computational Intelligence