1. Home
  2. »
  3. Artificial Intelligence & Machine Learning

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Edit Content

About Us

Vision

To achieve excellent standards of quality education by using the latest tools, nurturing collaborative culture and disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.

Mission

The Department of BTECH AIML mission is to produce students with a sound understanding of the fundamentals of Artificial Intelligence and Machine Learning. The mission is to meet the pressing demands of the nation, and also to enable students to become leaders in the industry and academia nationally and internationally.

Programme Educational Objectives

PEO-1

Apply analysis, predictions, optimization, decision making and develop skills in order to formulate and solve complex intelligent computing and multidisciplinary problems.

PEO-2

PEO-2 Take up higher studies, research & development and other creative efforts in the area of Machine Learning.

PEO-3

PEO-3 Use their skills in an ethical & professional manner to raise the satisfaction level of stake holders.

Program Specific Outcomes

PSO1

Apply the skills in the areas of Health Care, Education, Agriculture, Intelligent Transport, Environment, Smart Systems & in the multi-disciplinary area of Artificial Intelligence and Machine Learning.

PSO2

Demonstrate engineering practice learned through industry internship to solve live problems in various domains and Software applications for problem solving.
Edit Content
Departmental Library

Departmental Library

AIML AIDS Departmental Library
AIML Departmental Library
AIML AIDS Departmental Library
AIML Departmental Library
Academic Venues

Academic Venues

Well-equipped classrooms and lecture halls with modern teaching aids such as projectors, whiteboards, and audio-visual systems.

conference halltwo
Conference
conference hallone
Conference
Project Room
PROJECT ROOM
Seminar Hall
SEMINAR HALL
classroom lecture hallone
LECTURE HALL
classroom lecture halltwo
CLASSROOM
Laboratories

Fully functional and well-equipped laboratories for different subjects like programming, hardware, networking, and software engineering.

AIML Lab 1
CSE 1 F 12imgone
CSE Lab 1 (F-12)
CSE 1 F 12imgtwo
CSE Lab 1 (F-12)

CSE Lab 1 (F-12)

S.No.
Facility/Area
Description

1.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

2

Location

Main building ,1st floor -CSE Department Lab Room no.

CSE LAB - I PROJECT LAB

3.

Workstations/Desktops

Language Lab Server.

4.

Maintenance

Monthly record lab wise

5.

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

6.

Operating Systems

 WINDOWS 7 & 10

7.

Peripheral Devices

1 Projecter  Acer , 1 Brother Printer & 1 Wifi Router , 1 Pair Speaker

8.

Security

1 HD Camera In Class Rooms

9.

Software

MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G ,  C++ 3.0

AIML Lab 2
CSE 2 F 11imgone
CSE Lab 2 (F- 11)
CSE 2 F 11imgtwo
CSE Lab 2 (F- 11)

CSE Lab 2 (F- 11)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE Department Lab Room no.

CSE LAB - 2

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

Language lab server. & 30 Desktop System

4

Operating Systems

WINDOWS 7 & 10

5

Software

MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G ,  C/C++, MySQL , PostgreSQL , Node.j.

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Peripheral Devices

2 D-link Switch $ 1 Wifi Router

8

Security

1 HD Camera In Class Rooms

9

Maintenance

Monthly Record Lab Wise

AIML Lab 3
CSE 3 F10Bimgone
CSE Lab 3 (F-10 B)
CSE 3 F10Bimgone
CSE Lab 3 (F-10 B)

CSE Lab 3 (F-10 B)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE Department Lab Room no.

CSE LAB - 3

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

Language lab server. & 30 Desktop System

4

Operating Systems

WINDOWS 7 & 10

5

Software

MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Peripheral Devices

 2 D-link Switch

8

Security

1 HD Camera In Class Rooms

9

Maintenance

Monthly Record Lab Wise

AIML Lab 4
CSE 4 F10Aimgone
CSE Lab 4 (F-10 A)
CSE 4 F10Aimgone
CSE Lab 4 (F-10 A)

CSE Lab 4 (F-10 A)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE Department Lab Room no.

CSE LAB - 4

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

Language lab server. & 40 Desktop System

4

Operating Systems

WINDOWS 7 & 10

5

Software

MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G ,  C/C++, MySQL , PostgreSQL , Node.js , Bootstrap , Wireshark , OpenVPN ,  TensorFlow , Keras , OpenCV , Apache Hadoop , Apache Spark , OpenStack.

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Peripheral Devices

 1 Projecter Acer & 2 D-link Switch

8

Security

 1 HD Camera In Class Rooms

9

Maintenance

Monthly Record Lab Wise

AIML Lab 5
CSE 5 F03imgone
CSE Lab 5 (F-03)
CSE 5 F03imgone
CSE Lab 5 (F-03)

CSE Lab 5 (F-03)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE Department Lab Room no.

CSE LAB - 5

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

Language lab server. & 60 Desktop System

4

Operating Systems

 WINDOWS 7 & 10

5

Software

MS OFFICE 2010 and 2007 , ACROBAT READER 11.0 java , PYTHON 3.6 , Visual Studio 6.0 , DBMS 11G ,  C/C++, MySQL , PostgreSQL , Node.js

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Peripheral Devices

1 Projecter  Notevision & 4 D-link Switch

8

Security

1 HD Camera In Class Rooms .

9

Maintenance

Monthly Record Lab Wise

AIML Lab 6
Language Lab6 F06one
CSE Lab 6 (F- 06)
Language Lab6 F06one
CSE Lab 6 (F- 06)

CSE Lab 6 (F- 06)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE Department Lab Room no.

CSE LAB - 6 Language Lab

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

Language lab server. & 60 Desktop System

4

Operating Systems

WINDOWS 7

5

Software

MS OFFICE  2007 , ACROBAT READER 11.0  ,  C/C++

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Server Facilities

Linux ubuntu 11.0

8

Peripheral Devices

1 Projecter Acer  & 4 –D link Switch

9

Security

2 HD Camera In Class Rooms

10

Maintenance

Monthly Record Lab Wise

AIML Lab 7
CSE 7 F08imgone
CSE Lab 7 (F-08)
CSE 7 F08imgtwo
CSE Lab 7 (F-08)

CSE Lab 7 (F-08)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE AIML/DS  Department Lab Room no.

CSE LAB - 7

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

Language lab server. & 60 Desktop System

4

Operating Systems

WINDOWS 7 & 10

5

Software

Programming Languages and Tools: Python, Java,C/C++,JavaScript,Git (Version Control),Integrated Development Environments (IDEs) like Visual Studio Code, Eclipse, IntelliJ IDEA, etc. ,Database Management Systems:,MySQL,PostgreSQL,SQLite,Web Development:,Apache HTTP Server, NGINX, Node.js, React.js, AngularJS, Bootstrap, Networking ,Cloud Computing: OpenStack,Kubernetes,Docker

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Peripheral Devices

1 Projecter Acer  & 4 –D link Switch

8

Security

2 HD Camera In Class Rooms .

9

Maintenance

Monthly record lab wise

AIML Lab 8
CSE 8 F15imgone
CSE Lab 8 (F15)
CSE 8 F15imgtwo
CSE Lab 8 (F15)

CSE Lab 8 (F15)

S.No.
Facility/Area
Description

1.

Location

Main building ,1st floor -CSE AIML/DS Department Lab Room no.

CSE LAB - 8

2.

Infrastructure

Internet speed 78.0 Mbps Downloading, 125 Mbps Uploading speed.

3

Workstations/Desktops

4

Operating Systems

WINDOWS  10

5

Software

Programming Languages and Tools: Python, Java,C/C++,JavaScript,Git (Version Control),Integrated Development Environments (IDEs) like Visual Studio Code, Eclipse, IntelliJ IDEA, etc. ,Database Management Systems:,MySQL,PostgreSQL,SQLite,Web Development:,Apache HTTP Server,NGINX,Node.js,React.js,AngularJS,Bootstrap,Networking ,Cloud Computing: OpenStack,Kubernetes,Docker

6

Networking

Fiber optics cables, CAT 6 Cable all labs connecting

7

Peripheral Devices

1 Projecter  Acer , 1 Wifi Router 

8

Security

1 HD Camera In Class Rooms .

9

Maintenance

Monthly Record Lab Wise

Others Facilities

Computing Facilities

Adequate Computing facilities with the latest hardware and software required for conducting practical sessions, projects, and research work.

Research Facilities

Facilities to support research activities including computing resources, experimental setups, and access to research journals and publications.

Internet Connectivity

High-speed internet connectivity throughout the department to support academic and research activities.

Workshop and Training Facilities

Facilities for organizing workshops, training programs, and hands-on sessions on emerging technologies and tools.

Safety and Security Measures

Adequate safety measures including fire safety equipment, first aid facilities, and security personnel to ensure the safety of students and staff.

Continuous Improvement Mechanism

Mechanisms for continuous improvement such as feedback systems, quality assurance processes, and regular reviews to enhance the quality of education and research.

Laboratories Facilities

Software Facilities

Programming Languages and Tools:

Database Management Systems:

Web Development:

Networking:

Artificial Intelligence and Machine Learning:

Big Data:

Cloud Computing:

Others Facilities

Infrastructure

  • Lecture Halls, Class Rooms, Seminar Hall and Departmental Library are key features.
  • 11 LABS on different subjects like CP, Software Engg., DBMS, OOPS, Graphics & Multimedia and Major Project lab.Total No. of Computer Systems in the dept. are 300 approx. All laboratories are equipped with latest CORE 2 DUO Computers, scanners, printers.
  • Internet Facility: Internet Access is made available in all machines in Project Lab and is well secured behind Firewall .The entire College campus is WiFi enabled. Online study materials are available on an e-learning server Course materials available under NPTEL (National Program on Technology Enhanced Learning) by 7 IIT’s & IISc.
  • Department Library: The library has many journals and books available in the department. Allthe major software packages are available for study.
  • Faculty & Supporting Staff Details:Faculty Student Ratio is 1: 11.5. Avg. Academic Experience of faculty is 4 Years. Faculty participates in various activities like Departmental Library, Time Table Scheduling, Project work, Planning & Development – Amenities.
  • Teaching:Learning methodology -Faculty members prepare LESSON PLAN and maintain COURSE FILE for the subjects handled. LCD projectors are actively used both in the classroom and in Laboratory. Feedback from the students is obtained in very semester to make the teaching-learning process effective. Guest lectures are organized for the students by Industry Representatives, Research Scholars and Academicians on topics of current interest
  • Value Added Training: Various value added training programs are organized by Web Makers Mozila Community, CMC Pvt.Ltd. to update students of the latest trends in the field of Computer Science.
  • Co-Curricular Activities & Extra-curricular Activities: The students have participated in Inter College Competitions held at state level and National Level and brought laurels for the college.
Edit Content

Head of The Department 

NAME :  Dr. Ayonija Pathre

Head of Department of Artificial Intelligence

Qualifications: Ph.D(CSE), MTECH, B.E 

Experience: Teaching – 14 years

Dr. Ayonja Pathre is Head of Department of Artificial Intelligence Machine Learning. She is having total experience of 14 years, she did her B.E. and MTECH in Computer science engineering from RGPV University, Bhopal. She done her PhD in Computer science engineering from RNTU, Bhopal. Her areas of research interests are, Data Science, Big Data and Information Retrieval Systems. She has published more than 21 research papers in International Journals and
Conferences with indexing in Scopus, Springer, IEEE, and ESCI. She has published two book on Deep Learning and Cyber Security and published 2 Book chapters.

Head of The Department 

WhatsApp Image 2023 03 02 at 2.27.51 PMNAME : PROF. PANKAJ PANDEY

Head, Department of Computer Science and Engineering

*Qualifications:* PhD (Pursuing), M.Tech, BE

*Experience:* Teaching – 17 years

*Areas of Interest in Teaching:*
Artificial Intelligence, Machine Learning, Image Processing, Data Science, Cloud Computing

*Area of Expertise:*
Artificial Intelligence, Cyber Security, Machine Learning, Data Science, Network Security

*Patents:*
1. Australian Patent Granted with Patent Number: 2021105935 titled as “System for determining physiological condition of driver in autonomous driving and alarming the driver using machine learning.”
2. Australian Patent filed Granted with Application Number: 2021104849 titled as “A Computer implemented method and system for detecting human touch using body mounted camera to minimize covid spread using machine learning.”
3. Indian Patent published with Application Number: 202121034020 titled as “Autonomous Vehicle Driving and Traffic Sign Identification based on DEEP Learning Models.”
4. Indian Patent published with Application Number: 202121041195 titled as “Gesture and Posture Independent Face Recognition using Machine Learning Model.”

Edit Content

Student Achievement

Edit Content

FACULTY ACHIEVEMENTS

Edit Content
Edit Content