Area:1000Sq.Ft
The Artificial Intelligence Laboratory is equipped to support hands-on learning, experimentation, and project development in various domains of Artificial Intelligence and Data Science. The lab provides facilities for implementing and testing AI algorithms, machine learning models, deep learning architectures, natural language processing, computer vision, robotics, and data analytics. Students can perform experiments related to supervised and unsupervised learning, neural networks, reinforcement learning, data preprocessing, model evaluation, and deployment.
Area:1000 Sq.Ft
Facilities are available to conduct experiments in Text Preprocessing, Tokenization, Part-of-Speech Tagging, Stemming and Lemmatization, Named Entity Recognition, Sentiment Analysis, Question Answering Systems, Machine Translation, and Language Modeling.
Lab software available includes Python, NLTK, SpaCy, Gensim, Transformers Library, and tools for training and evaluating NLP models. High-performance systems and cloud-based platforms are provided for implementing classical and deep learning-based NLP techniques.
Area:1000Sq.Ft
Facilities are available to conduct experiments in Data Collection, Cleaning, Preprocessing, Statistical Analysis, Data Visualization, Exploratory Data Analysis (EDA), Feature Engineering, Predictive Modeling, and Data Interpretation.
Lab equipment and tools available include Python, R, Jupyter Notebooks, Anaconda, Tableau, Power BI, MySQL, MongoDB, Scikit-Learn, Pandas, NumPy, Matplotlib, and various data analytics libraries. Students can work with large datasets and perform end-to-end data analysis workflows.
Area:1000 Sq.Ft
Facilities are available to conduct experiments in Training Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Models, Support Vector Machines, Decision Trees, Clustering, Regression, Classification, and Reinforcement Learning.
Lab equipment available includes GPU-enabled workstations, cloud computing access (AWS / Google Cloud / Azure), and software such as TensorFlow, Keras, PyTorch, Scikit-Learn, OpenCV, and Jupyter Notebook. Students can train, evaluate, and deploy ML/DL models for real-world applications.
Area:1000Sq.Ft.
Facilities are available to conduct experiments in Array and Linked List Operations, Stack and Queue Implementation, Tree and Graph Traversals, Sorting and Searching Algorithms, Hashing, File Structures, Relational Database Design, SQL Queries, Views, Stored Procedures, Functions, Triggers, and Transaction Management.
Lab software available includes C, C++, Java, MySQL, PostgreSQL, Oracle, and tools for implementing and analyzing fundamental data structures and DBMS concepts.
Area:1000Sq.Ft.
Facilities are available to conduct experiments in Basic Input/Output Operations, Control Structures, Functions, Arrays, Strings, Pointers, Structures, File Handling, and Modular Programming.
Lab systems are equipped with C compilers such as GCC, Turbo C, and Code::Blocks, along with debugging tools to help students develop strong foundational programming skills.
The Department Library of Artificial Intelligence and Data Science (AI&DS) is a dedicated resource center that supports teaching, learning, and research activities. It provides curated study materials, reference books, digital resources, and project repositories that help students and faculty stay updated with the latest advancements in AI and DS.
| Resource Type | Quantity | Description |
|---|---|---|
| Total Books | 150–300 (institution dependent) | Core AI, ML, DL, Data Science, Python, Statistics, Big Data, Robotics |
| Textbooks | 80+ | Prescribed for curriculum and lab courses |
| Reference Books | 120+ | Advanced AI, Deep Learning, Reinforcement Learning, NLP, Computer Vision |
| Project Reports | 50+ | UG and PG projects in AI, ML, DL |
| Laboratory Manuals | 15+ | Python, Machine Learning, Deep Learning, Data Structures, DBMS |
| CD/DVD/Software Copies | 20+ | MATLAB, Anaconda, TensorFlow guides, ML video lectures |
| Newspapers/Magazines | 10+ | AI-related publications and technology magazines |
