Artificial Intelligence(AI) and Data Science

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DEPARTMENT OF ARTIFICIAL INTELLIGENCE (AI) & DATA SCIENCE
The Department of Artificial Intelligence (AI) & Data Science is dedicated to exploring and applying cutting-edge principles in AI and data science. Within this department, students benefit from a strong focus on key areas like machine learning, natural language processing, and computer vision. These subjects teach students how to enable computers to learn, understand human language, and interpret visual information. Additionally, the curriculum covers data science techniques, including data mining and big data analytics, which are crucial for analyzing large datasets. These skills provide students with the tools to generate valuable insights and make informed decisions in various fields such as business, healthcare, finance, and Internet of Things (IoT) applications.
The department is established in 2024 with the intake capacity of Undergraduate Course (B. Tech.) is 60. The department’s emphasis on a modular learning approach reflects its commitment to integrating theoretical knowledge with practical applications in Artificial Intelligence (AI) and Data Science. This methodical approach ensures that students not only grasp foundational concepts but also gain hands-on experience in utilizing cutting-edge tools and techniques.
Through education and training programs, the department equips students with the skills needed to navigate and lead in this dynamic field, fostering collaborations with industry to bridge theory with real-world applications.
Faculty members of the department regularly engage in short-term training programs, faculty development workshops, conferences, and training sessions organized by leading industries and academic institutions. Their commitment to student success drives them to continuously seek ways to improve and enhance the learning experience.
Major Lab Equipment:
Labs are equipped with recent configuration devices which includes Desktop Systems Core i3, 500 GB HDD, 8 GB RAM, 18.5” T.F.T., 24 Port Gigabit Switches, Mouse, Keyboards etc.
Accreditation:
The institute is accredited by NAAC with grade “A+” and International Accreditation Organization (IAO).
• Course: B. Tech
• Year of Inception: 2024
• Sanctioned Intake: 60
• Accredited by: The institute is accredited by NAAC with grade “A+” and International Accreditation Organization (IAO)
• Specialization offered by the department: Artificial Intelligence, Machine Learning, Data Processing, Deep Learning
 Key Laboratories: Machine Learning Lab, Artificial Intelligence Lab, Data Processing Lab, Web Technology Lab, Operating System Lab, Data Structures Lab
• Career Opportunities in : Software and IT Industry, Banking, Finance, E-Commerce, Healthcare and Health Technology, Marketing, Energy, Education Technology, Agriculture, Manufacturing, Construction etc. as a Data Scientist, Business Intelligence (BI) Developer, Research Scientist, Business Analyst, Data Architect, Machine Learning Engineer, Artificial Intelligence (AI) Architect, Artificial Intelligence (AI) Consultant and Product Manager, Computer Vision Engineer, Full Stack Engineer, Neural Network Developer, Natural Language Processing (NLP) Engineer.

Vision of the Department

  • Develop globally competent Computer Science and Engineering graduates by inculcating value of leadership and research qualities and make them ready for industry needs.

Mission of the Department

    • Develop competent CSE graduates by enhancing the fundamental concepts, analytical and problem solving skills of students.
    • Make students acquainted with the contemporary technologies and expectations of industries through training, internships and expert lectures.
    • Inculcate research qualities among students by providing conducive environment
    • Develop leadership among students by making them participate in various co-curricular and extra-curricular activities.

Click Here to View Computer Science & Engineering Department Faculty

Time Table  Session 2023-24

  • Time Table (Second Year, Third Year and Final Year)2023-24(Odd Sem)….Click Here
  • CSE Sem. 1 to 8, CE Sem. 3& 4 Syllabus Revised. Syllabus Notification. No. 121 of 2023….Click Here
  • Time Table 2021-22 Even Semester…Click Here
  • Time Table 2021-22 Odd Semester…Click Here
  • Time Table 2022-23 Even Semester…Click Here
  • Time Table 2022-23 Odd Semester…Click Here 

Syllabus for B.E.(Computer Science and Engineering)

  • Syllabus Final Year(7th & 8th Sem 2022)…Click Here
  • Syllabus Third year(6th Sem) Updated draft 2021….Click Here
  • Syllabus Third Year(5th Sem)Updated draft 2021…Click Here
  • Syllabus Second Year Updated Draft….Click Here

Open Elective

  1. Principles of e-marketing for engineering
  2. Fundamentals of finance and accounting
  3. Entrepreneurship

Syllabus for B.E.(Computer Science and Engineering)Credit Grade System:

Syllabus for M.E. Credit Grade System:

Time Table:

Sr.No Innovative Method for Teaching Learning
1 Moodle Based E-Learning Environment
2 Focused Group Study
3 Designing and Problem Solving Through Simulation
4 Role-Play
5 Web Based Learning
6 Online Certification Courses through NPTEL

 

Programme Outcomes:


Engineering Graduates will able to:

PO 1: Engineering knowledge:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering
problems.

PO 2: Problem analysis:
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

PO 3: Design/development of solutions:
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO 4: Conduct investigations of complex problems:
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and  synthesis of the information to provide valid conclusions.

PO 5: Modern tool usage:

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO 6: The engineer and society:

Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO 7: Environment and sustainability:

Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO 8: Ethics:

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9: Individual and teamwork:

Function effectively as an individual, and as a member or leader in diverse teams, and in multi disciplinary settings.

PO 10: Communication:

Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 11: Project management and finance:

Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi disciplinary environments.

PO12: Life-long learning:

Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

 

Program Educational Objectives (PEOs):
PEO1: To prepare globally competent graduates having strong fundamentals, domain knowledge, updated with modern technology to provide the effective solutions for engineering problems.

PEO2: To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues.

PEO3: To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.

PEO4: To prepare the graduates with managerial and communication skills to work effectively as individual as well as in teams.

 

Program Specific Outcomes (PSO’s): 

1. Students will acquire a foundation in artificial intelligence, machine learning, and data science techniques.
2. Students will be able to design, develop, and implement solutions to real-world problems using Artificial Intelligence & Data Science algorithms.
3. Students will demonstrate skills in applying data analysis, statistical modeling, and visualization tools to extract insights from various datasets.
4. Students will integrate ethical principles and interdisciplinary knowledge to create AI driven
systems that responsibly address societal, environmental, and industrial needs

Under Graduate Programme

U.G. (Computer Science & Engineering)

Sr. NoCourseIntake
01B.Tech. (Computer Science & Engineering)180

Post  Graduate Programme

P.G.

Sr. NoCourseIntake
01M.Tech. (Computer Science and Engineering)24

Ph.D. Programme

Recognized Research Lab for Ph.D Programme in Computer science and Engineering with sanctioned intake as per University Norms

Academic year 2022-23

Sr. NoDeveloped By Name of ProjectsGuided By 
 
     
1Samruddhi R KhondeIKSHANA-A user friendly software for visually impaired personDr. V K. Shandilya 
Vishakha Rajesh Deshmukh 
Sanskar Harish Goenka 
Dhiraj Motilal Sharma 
Sankalp Pravin Malani 
     
2Pooja Sanjay mehareEmail Spoofing Detection – Spoofed email with swapped email id(and IP too) can come to any user’s inbox. Suggest a mechanism to filter the spoofed email at server onlyDr. S S. Dhande 
Janhavi Kishor madiwale 
Srushti Ashok Badukale 
Divya Yadav Patkar 
Swati Ashok saundale 
     
3Vedant ChandanbatweDesigning an app for screening the possible mental health issues in adolescents and PwDs.Prof. P C. Khanzode 
Disha Chhangani 
Bharti Fukatkar 
Karansingh Daberao 
     
4Prathamesh DeshmukhCentralized grievance system portalDr. P A. Tijare 
Viraj Bhutada 
Ritesh Agrawal 
Shreyas Amale 
Prathmesh Upadhyay 
     
5Shreya ShelkeHERITAGE Identification of monuments using Deep Learning TechniquesDr. H R. Vyawahare 
Kalyani Shahale 
Indrayani Pathak 
Aniket Sangai 
Dipali Lunge 
     
6Akshada LawangeApp Based solution to identify & solve disesase plants/cropDr. A A. Bardekar 
Sakshi Rathi 
Prapti Agham 
Nikhil Lavange 
Aman Umathe 
     
7Rugved KordeA Comprehensive study of multiclass classification using the different ML techniques for fruit species prediction from imagesProf. S N. Sawalkar 
Achal Sultane 
Vedant Mahitkar 
Shreyal Ikhar 
Achal Mokhale 

Academic year 2021-22

 

Sr.Name of ProjectsDeveloped ByGuided By
01AI based crop identification mobile appAstha Girish Gupta
Archie Kedar Agrawal
Aanchal Pradip Saboo
Kunal Ashok Khadse
Aditya Gajanan Sawate
Prof. A V. Pande
02Abuse related posts reporter using Web crawler in pythonDishil Purswani
Tanishk Vijay Rathi
Vijay Keshar Jangid
Agrawal shubham
Swapnil Chavhan
Dr. P A. Tijare
03Implementation of Mid-Day Meal (MDM) Analytics Application for Educational AttainmentAnupama S. Joshi
Prapti A. Gomekar
Shruti V. Lokhande
Sonal R. Dhole
Shreya K. Mate
Dr. A V. Zade
04Face, expression and gesture recognition and compilation in database softwareSanket Mohanrao Dewase
Chinmay Milind Barbade
Amey Khandekar
Ravindra Rajendra Kanitkar
Prajwal Pophale
Prof. A P. Ghatol
05Jarvis (software robot assistant) for corporationsJaswantsingh Shekhawat
Anshul Gayakwad
Sujay Dhawak
Prajwal Dakare
Dr. V K. Shandilya
06Mobile game for Alzheimer’s Disease detectionPranit Karale
Jagruti Shrivas
Tejaswini Kalbande
Sakshi Boralkar
Anushree Jangid
Prof. A V. Sable

 

Academic year 2020-21

Sr.Name of ProjectsDeveloped ByGuided By
01Automatic Sanitizer Dispensing MachineSamruddhi bhagwatkar,Saloni Jaiswal,

 

Tejal Sonune,Kajal Bhonde,Tanuja Sawai

Dr. A A. Bardekar
02IOT Based Health Monitoring SystemGaurav K. Kanere,Reena S. Bajaj,

 

Samiksha M. Padole,Prosha S. Sirsat

,Shruti D. Dode

Prof. S N. Sawalkar
03Sentiment AnalysisNikita Nawale,Gayatri kamble,Dikshita gonge,

 

Arati Manjurkar,Radhika Dhanorkar

Dr. A. V. Zade
04Pothol Detection System For

 

Monitoring Road Using "IOT"

Shivani A. Wankhede,Dhanashree G. Thakur

 

,Arpita Kale,Pratiksha K. Bhattad,Twinkle R. Wankhade

Prof. H R. Vyawahare
05Terrorism Analysis and Finding InsightVedant N. Jawanjal,Jagruti K. Anjankar,

 

Shailesh Nanwani,Mayur Dharamkar,

Bhagyashree Waghmare

Prof. A V. Sable

Academic year 2019-20

Sr.Name of ProjectsDeveloped ByGuided By
01Automated Irrigation SystemAnjali Verma, Nikita Agrawal,Rutika Kapile,

 

Sneha Ambulkar, Dhanshree Lahoti

Dr. P A. Tijare
02Functional Blockchain Approach towards

 

approximation problem in E-commerce website

Safal Gupta, Shubham Kharabe, Nidhi Rathi,

 

Dhruvika Shekawat, Achal Rakhunde

Prof. A D. Shah
03Wifi Jammer Using Raspberry PiPiyush Thorat, Naval Vaidya, Sachin Yadav,

 

Sharvary Sekrutwar, Swaralee Nandgaonkar

Prof. A A. Bardekar
04Detection and Classification of Agricultural

 

Plant Leaf Diseases using Image Processing

Tejas Pranjale, Mayur Kadu,

 

Bhavesh Sonkar, Chaitali Bagade

Prof. A V. Zade
05Smart Agriculture Sytem using IOTPranav Zele, Aatif Khan,

 

Gaurabh Nichat, Sagar Parmar

Prof. A R. Itkikar
06Plagarism Count Analysis on User Uploaded SynopsisPiyush Pahade, Juhi Shah, Akshay Manekar,

 

Ishwari Girnale, Charul Deole

Dr. G S.Thakare

Academic year 2018-19

Sr.Name of ProjectsDeveloped ByGuided By
01Androit Based Parking Booking System Rutuja Sawai, Vaishnavi Hurde, Gunjan

 

Kadmegh, Saloni Ruthe, Sakshi Patil

Dr. S. S. Dhande
02AGRI-QAS: Question Answering System for

 

Agriculture Domain

Mrunali Khadatkar, Vaishnavi Chaudhari,
Toshita Chandurkar, Surabhi Deshmukh,Shital Banchare
Prof. A. V. Zade
03Collaborative File Sharing Using File
Manager Over Object Storage
Sarvesh Kaushik , Keval Jajoo , Brijraj
Sadani , Rushikesh Khadekar , HrishikeshPusadkar
Prof. R V. Gupta
04Personalized Document SimilarityShreya Dongare,Vaishnavi
Bhagat,Sharayu Renghe,Swarda
Mokashi,Ashvini Renghe
Prof. P. A. Tijare
05Training and Placement SystemPayal Jaiswal , Amruta Khade ,Simran
Pawar , Vaishnavi Khandar , DevyaniVaidya
Prof. R V. Gupta

Academic year 2017-18

Sr.Name of ProjectsDeveloped ByGuided By
01iBin Monitoring SystemVedarshee Gaidhane,Aniruddha
Bhalerao,Ankit Thosar,Kaustubh
Rathi,Abhishek Telang,Ashutosh
Bambal,Shubham Hirapure
Dr. A.D. Gawande
Dr. D M. Dakhane
02Application of Data MiningPallavi Bakale,Simran Gaikwad,Rutuja

 

Kalegh,Twinkle Ghatoria,Radhika Kabre

Dr. A. D. Gawande
03Cloud Based Sale JunctionAditya Kalhane,Dhiraj Shukla,Arjun

 

Narwade,Dipak Mehankar

Dr. D. M. Dakhane
04Geographically Synchronized purchase

 

remainder app

Subodh Bhaturkar,Pranav
Ghoderao,Dhawal Badhe,,Shubham
Kewatkar,Shreyash Nemade
Prof. A R. Itkikar
05Mobile App OptimizerYash Tawar,Darshan Sharma,Parimal

 

Waghmare

Dr. D. M. Dakhane

Academic year 2016-17

Sr.Name of ProjectsDeveloped ByGuided By
01Shodhbeta Information App of AmravatiPramod Wagh, Snehal Kokate, Reshma
Totalni, Anushree Dhote,
Vishakha Yadav, Shivani Gupta
Dr. A.D. Gawande
02Preventing SQL injection attack in web

 

application

Punam N. Jamalkar,Priyanka K.
Sahare,Komal G. Lahe,Rekha
S.Waharwagh,Aishwarya Jajoo
Dr. A.D. Gawande
03Enhancement of covert communication
using storage convert channel
Shubham Men,Deepam Kasturiwala,Shivraj
Khadse,Sahil Mehare,Bhargavesh Gaikwad
Prof. D M. Dakhane
04Smart FarmingHitesh Awaghade,Roshan

 

Bafana,Mohammad Asim,Piyush Mohekar

Prof. A.V. Sable
05Data recovery using Distribution keySagar Sawadekar,Sagar Wajire,Himalay

 

Dhure,Raghuveer Bhangrule

Prof. A D. Shah
The Department has well equipped laboratories to run UG, PG programmes and research work for Ph.D. students.
DATA STRUCTURE LAB

Objectives:

  • To provide environment to understand concept and gain knowledge of data structure, algorithm designs, representation of data structure basics with computation logic and their applications.

Facilities:

  • HP Desktop Systems(28 Nos) Ci3, 500 GB HDD
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton, AC 2 Ton, 24 Port Gigabytes Switches (2nos)

 

OPERATING SYSTEM LAB

 

Objectives:

  • Students will gain practical experience with designing and implementing concepts of operating systems such as system calls, CPU scheduling, process management, memory management, file systems and deadlock handling using C, C++ language in LINUX environment.

Facilities:

  • HP Desktop Systems(21 Nos) Ci3, 500 GB HDD
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton, AC 2 Ton, 24 Port Gigabytes Switches

 

OBJECT ORIENTED PROGRAMMING LAB

Objectives:

  • The purpose of the Object Oriented Programming lab is to teach the students the concepts of object oriented paradigm, assimilation of a new programming language, Java, as well as familiarization with specific programming techniques.

Facilities:

  • HP Desktop Systems(23 Nos) Ci3, 500 GB HDD
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton, AC 2 Ton, 24 Port Gigabytes Switches (2nos)

 

WEB TECHNOLOGY LAB

Objectives:

  • The lab is designed for conducting practicals based on HTML and C programming language.
  • To develop an ability to design and implement static websites.

Facilities:

  • HP Desktop Systems(25 Nos) Ci3, 500 GB HDD
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton, AC 2 Ton, 24 Port Gigabytes Switches.

 

SYSTEM SOFTWARE LAB

Objectives

  • To provide environment to gain  knowledge of system software.
  • To develop an ability to design and implement various compiler optimization techniques.

Facilities:

  • HP Desktop Systems(25 Nos) Ci3, 500 GB HDD
  • 4 GB RAM, 18.5”T.F.T., AC 3 Ton,AC 2 Ton, 24 Port Gigabytes Switches.

 

SOFTWARE ENGINEERING LAB

Objectives

  • To have hands on experience of the concepts of Software engineering with the help of various tools.

Facilities:

  • HP Desktop Systems(24 Nos) Ci3, 500 GB HDD.
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton, AC 2Ton, 24 Port Gigabytes Switches.

 

PROJECT LAB -1

Objectives:

  • To provide students with all the software required for developing and designing their final year degree projects.

Facilities:

  • HP Desktop Systems(28 Nos) Ci3, 500 GB HDD.
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton,AC 2 Ton, 24 Port Gigabytes Switches.

 

PROJECT LAB -2

Objectives

  • To provide facilities to PG students for conducting their research projects and its implementation.

Facilities:

  • HP Desktop Systems(28 Nos) Ci3, 500 GB HDD.
  • 2 GB RAM, 18.5”T.F.T., AC 3 Ton, AC 2 Ton, 24 Port Gigabytes Switches.

 

Ph.D. RESEARCH LAB

Objectives

  • The Ph.D. research laboratory enables students to conduct research in order to formulate, structure, solve and implement solutions to complex problems.
  • The lab allows student’s abilities to meet the benchmarks identified in this framework.

Facilities:

  • HP Desktop systems (28 Nos), 4 GB RAM, 1TB HDD, 18.5”TFT, Core i3, 2GB, 500GB, 15”Tft
  • 24 Port Gigabytes Switches

 

COMPUTER PROGRAMMING LAB

Objectives

  • To introduce the students to the field of programming in C language.
  • To enhance their analyzing and problem solving skills and use the same for writing programs in C.

Facilities:

  • HP Desktop systems (28 Nos.), 4 GB RAM, 1 TB HDD, 18.5”TFT, Core i3, 2 GB, 500 GB HDD, 15”Tft,
  • 24 Port Gigabytes Switch.

 

PROGRAMMING METHODOLOGY LAB

Objectives

  • To give the students a thorough and practical knowledge of programming and principles of software development by means of a contemporary programming methodology.

Facilities:

  • HP core i3 Desktop PC (15 nos) – 2 GB RAM, 500GB HDD, 18.5” TFT
  • HP Desktop C2D (10 nos.)- 1 GB RAM, 320 GB HDD, 15’ TFT, 24 Port Gigabytes switches.

 

DBMS LAB

Objectives

  •  To understand the basic structure of SQL and to be familiar with simple database operations.
  •  To understand the concept of data manipulation through queries using SQL.
  •  To develop a mini project on database using any database management system.

Facilities:

  • HP Desktop Systems(24 Nos) Ci3, 500GB HDD, 2GB RAM, 18.5”T.F.T., AC 3Ton, AC 2Ton
  • 24 Port Gigabytes Switches.

 

DIGITAL ELECTRONICS LAB

Objectives

  • To acquire the basic knowledge of digital logic IC’s  and  its application in digital electronics circuits.
  • To prepare students to perform the analysis and design of various digital electronic circuits.

Facilities:

  • CRO (7 Nos),
  • Functions Gen (7 Nos.)
  • Experimental Kit (25 Nos.)
  • Analog to Digital Kit ST2613.
  • Power supply (5 Nos.)
  • Digital Multimeter (3 Nos.)

Session 2022-23

Sr. NoName of StudentEvent NameVenuePrizeSession
1Mr. Prasad Mahure
Mr. Sanskar Goenka
Ms.Samruddhi Khonde
(Final Year CSE)
Crime Against Women-A Hackathon
Competition
Cyber Cell AmravatiWinner2022-2023
2Team Lotus
(Shritej Lakade, Prashik Gadge,
Sheelaj Patwardhan, Prasad Nimkar, Prathmesh Khandelwal)
“Techno- Vision 2K22” a Hackathon
Competition
Department of Computer Science and
Engineering, SIPNA COET, Amravati
Winner2022-2023
3Team Techno Farmers
(Ankit Raut, Akshay Lakhekar,
Sameer Nagpurkar, Anshita Bagdi, Komal Agrawal)
“Techno- Vision 2K22” a Hackathon
Competition
Department of Computer Science and
Engineering, SIPNA COET, Amravati
Runner2022-2023
4Ms. Sagarika P. ThakareUtkarsh- State Level Social and Cultural Poster Making CompetitionPunyashlok Ahilyabai Holkar University, Solapur3rd   Rank2022-2023
5Mr. Prasad Mahure
(Final Year CSE)
Ms. Aastha Adwani
(Final Year CSE)
EUREKA "Business Model Competition"Government College of Engineering, Amravati in Association with E-Cell IIT BombayOn being selected as
the top 20 teams
2022-2023
6Ms. Rutuja Ghate
(Third Year CSE)
EUREKA "Business Model Competition"Government College of Engineering, Amravati in Association with E-Cell IIT BombayOn being selected as
the top 20 teams
2022-2023
7Miss. Shreya Shelke
(Final Year CSE)
Invited to participate and speak in the
Parliament House of India on the
occasion of function to pay tributes
and homage to our national leaders.
Parliament House of IndiaRepresenter from
Maharashtra state
2022-2023
8Miss. Shreya Shelke
(Final Year CSE)
26th National Youth Festival 2023Hubali, KarnatakaAwarded and Appreciated with Memento (For Best Question award)2022-2023
9Mr. Ankit RautFront-End Development CompetitionDepartment of Computer Science and
Engineering, SIPNA COET, Amravati
Runner2022-2023
10Mr. Tejas RatnaparkhiFront-End Development CompetitionDepartment of Computer Science and
Engineering, SIPNA COET, Amravati
Winner2022-2023

 Session 2021-22 

Sr. NoName of StudentEventVenuePrizeSession
1Atharva Shekhar BelgeA National Level Project Competition-ECOTHONSipna College of Engineering and Technology, AmravatiRunner-up2021-22
2Harshal DighadeA National Level Project Competition-ECOTHONSipna College of Engineering and Technology, AmravatiRunner-up2021-22
3Samruddhi Rajesh KhondeA National Level HACKATHONAssam University, SilcharWinner2021-22
4Janhavi ChandakCode The Web- a web development competitionDepartment of Computer Science & Engineering, Sipna College of Engineering and Technology, AmravatiRunner-up2021-22
5Harshal DharpureCode The Web- a web development competitionDepartment of Computer Science & Engineering, Sipna College of Engineering and Technology, AmravatiRunner-up2021-22
6Nachiket YawalkarCode The Web- a web development competitionDepartment of Computer Science & Engineering, Sipna College of Engineering and Technology, AmravatiWinner2021-22
7Shreyash TaloleCode The Web- a web development competitionDepartment of Computer Science & Engineering, Sipna College of Engineering and Technology, AmravatiWinner2021-22
8Ashutosh AdhaoCodorithm-University Level Coding CompetitionDepartment of Information Technology, Sipna College of Engineering and Technology, Amravati2nd Runner-up2021-22
9Sakshi MalviyaCodorithm-University Level Coding CompetitionDepartment of Information Technology, Sipna College of Engineering and Technology, Amravati2nd Runner-up2021-22
10Mayur SonkusreMimeSGBAU Youth Festival 2021First Prize2021-22
11Janhavi PundMimeSGBAU Youth Festival 2021First Prize2021-22
12Shreya ShelkeWestern Group SongSGBAU Youth Festival 2021First Prize2021-22
13Gauri DeshpandeWestern Group SongSGBAU Youth Festival 2021First Prize2021-22
14Indrayani PathakWestern Group SongSGBAU Youth Festival 2021First Prize2021-22
15Avantika RautWestern Group SongSGBAU Youth Festival 2021First Prize2021-22
16Shreya ShelkeWestern Solo SongSGBAU Youth Festival 2021First Prize2021-22
17Om IngoleFolk DanceSGBAU Youth Festival 2021Third Prize2021-22
18Maitreyee KolwadkarFolk DanceSGBAU Youth Festival 2021Third Prize2021-22

University Color Coat Holders

Color Coat Holders

Session 2021-22
Sr. No.Name of StudentYear of StudyEvent 
1Mr. Arjun Rahal2nd YearWrestling
2Ms. Manjusha Bansod3rd YearSwimming
3Ms. Parthavi Ingole3rd YearCricket

 

Winners of  Technical Activities 

Sr.Name of studentEventVenuePrizeSession
01Purva Suresh BandabuchePaper PresentationMaharashtra Institute of Technology, AurangabadWinner2020-21
02Aastha Pritam AdwaniEssay writing competitionSipna college of engineering and technology, amravatiRunner-up2020-21
03Shreya WanjariWeb designing competitionKIT CSI Regional Convention 2020, KolhapurWinner2020-21

 

University Color Coat Holders
Session: 2019-20
Sr. NoName of StudentYear of StudyEvent
1Mr. Sivam Shete2nd yearBasket-Ball
2Mr. Karan Sharma3rd yearFolk Dance
3Ms. Urwali Mahajan3rd yearFolk Dance
4Mr. Gaurav Rathod4th yearBase-Ball

Winners of  Technical Activities

Sr.Name of studentEventVenuePrizeSession
01Mr. Dishil PurswaniCampus Mania (Vidyotan 2020)Sipna COET, AmravatiRunner2019-20
02Mr. Rohit MandavkarStartup Conclave (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
03Ms. Pratiksha BhattadArt and Craft (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
04Mr. Abhishek TidkeBox Cricket (Prajwalan 2020)Government College of Engineering, AmravatiRunner2019-20
05Ms. Radhika DhanorkarTechnical Quiz (Vidyotan 2020)Sipna COET, AmravatiRunner2019-20
06Mr. Shantanu DeshmukhStartup Conclave (Vidyotan 2020)Sipna COET, AmravatiRunner2019-20
07Ms. Manjiri DuchakkeMoksha Patam-Snake & Ladder (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
08Ms. Pooja BelgamwarMoksha Patam-Snake & Ladder (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
09Mr. Kishor NaruleDigital Tresure Hunt (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
10Ms. Swarika GuheTechnical Quiz (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
11Ms. Janhavi BanarseTechnical Quiz (Vidyotan 2020)Sipna COET, AmravatiWinner2019-20
12Mr. Rohit HirulkarGK Quiz (Prajwalan 2020)Government College of Engineering, AmravatiWinner2019-20
13Mr. Rohit HirulkarGoogler-Digital hunt (Prajwalan 2020)Government College of Engineering, AmravatiRunner2019-20
14Mr. Rohit HirulkarCoding-Decoding (Esperanza 2020)Prof. Ram Meghe Institute of Technology & Research, BadnearaRunner2019-20
15Kishor NaruleDigital Treasure HuntSIPNA COET,AmravatiWinner2018-2019
16Arjun SontakkeBest App DesignSIPNA COET,AmravatiWinner2018-2019
17Arjun Sontakke,
Chirag Patil
Best App DesignSIPNA COET,AmravatiWinner2018-2019
18Pranita ChawareDigital Treasure HuntSIPNA COET,AmravatiRunner-Up2018-2019
19Yash V. ThakareTechfest World
Model United
Nations 2018
IIT ,BombayHonourable
Mention
2018-2019
20Arjun Sontakke,
Kajal Sharma,
Chirag Patil
ContraptionPRMITR,BadneraRunner-Up2018-2019
21Apurva Padwad,
Mansi Agrawal,
Gayatri
Shinde,Samreen
Syeda
IoT challenges
2019
PRMITR,BadneraMerit(in
prelims)
2018-2019
22Snehal AsutkarTechnical QuizSIPNA COET, AmravatiWinner2017-2018
23Dhanashri KshirsagarTechnical QuizSIPNA COET, AmravatiWinner2017-2018
24Neel PatelBox-CricketSIPNA COET, AmravatiRunner2017-2018
25Likhita JainQuiz ContestSIPNA COET, AmravatiRunner2017-2018
26Rajashri KaleQuiz ContestSIPNA COET, AmravatiRunner2017-2018
27Surabhi Rathi, Tanmay Shelokar, Arjun Sontakke, Krishna TawariContraptionSIPNA COET, AmravatiRunner2017-2018
28Nitesh Rajput, Tanmay Shelokar, Arjun Sontakke, Gaurav ChurheDeath RaceSSGMCOE, ShegaonRunner2017-2018
29Surabhi Rathi, Tanmay Shelokar, Arjun Sontakke, Krishna TawariRobo-RaceSSGMCOE, ShegaonRunner2017-2018
30Shivani BhureMix StationG6vernment Polytechnic,

 

Amravati

Winner2016-2017
31Pratiksha DatirDigital Treasure HuntSIPNA COET, AmravatiWinner2016-2017
32Sumit BhalchakraMad AdGCOE, AmravatiRunner2015-2016
33Shivani BhurePoster PresentationSIPNA COET,AmravatiWinner2015-2016
34Shraddha ChoubeTech ManiaSIPNA COET,AmravatiRunner2015-2016
35Bhagyashri BendePoster PresentationSIPNA COET,AmravatiRunner2015-2016

 

HEAD OF DEPT, COMPUTER SCIENCE & ENGINEERING
  • Name:  Dr.V.K.Shandilya, Head of Computer Science & Engg.
  • Mobile:  9881487103
  • Office Contact No: (0721) 2522342 (Ext.)201
  • Email: vkshandilya@sipnaengg.ac.in, vkshandilya14@gmail.com

Artificial Intelligence (AI) and Data Science

The Department of Artificial Intelligence (AI) & Data Science is dedicated to exploring and applying cutting-edge principles in AI and data science. Within this department, students benefit from a strong focus on key areas like machine learning, natural language processing, and computer vision. These subjects teach students how to enable computers to learn, understand human language, and interpret visual information. Additionally, the curriculum covers data science techniques, including data mining and big data analytics, which are crucial for analyzing large datasets. These skills provide students with the tools to generate valuable insights and make informed decisions in various fields such as business, healthcare, finance, and Internet of Things (IoT) applications.
The department is established in 2024 with the intake capacity of Undergraduate Course (B. Tech.) is 60. The department’s emphasis on a modular learning approach reflects its commitment to integrating theoretical knowledge with practical applications in Artificial Intelligence (AI) and Data Science. This methodical approach ensures that students not only grasp foundational concepts but also gain hands-on experience in utilizing cutting-edge tools and techniques.
Through education and training programs, the department equips students with the skills needed to navigate and lead in this dynamic field, fostering collaborations with industry to bridge theory with real-world applications.
Faculty members of the department regularly engage in short-term training programs, faculty development workshops, conferences, and training sessions organized by leading industries and academic institutions. Their commitment to student success drives them to continuously seek ways to improve and enhance the learning experience.

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