ARTIFICIAL INTELLIGENCE & DATA SCIENCE (AI & DS)
About Department
About Department
The Department of Artificial Intelligence & Data Science (AI & DS) is established in 2025 with intake capacity 60. Department dedicated to nurturing future-ready engineers equipped with the knowledge and skills to solve complex real-world problems using intelligent technologies. The department offers a dynamic learning environment that combines strong theoretical foundations with practical applications in Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Computer Vision, Natural Language Processing, Cloud Computing, and Big Data Analytics.
Our curriculum is designed in accordance with industry standards and emerging technological trends, enabling students to gain expertise in developing intelligent systems, analyzing large datasets, and creating innovative AI-driven solutions. Through modern laboratories, industry-oriented projects, internships, workshops, hackathons, and expert lectures, students receive extensive hands-on exposure to cutting-edge technologies.
The department is committed to fostering innovation, research, entrepreneurship, and lifelong learning. Faculty members mentor students in research projects, technical competitions, and interdisciplinary collaborations, encouraging them to develop creative solutions to societal and industrial challenges.
We strive to produce competent, ethical, and socially responsible engineers who can contribute effectively to the rapidly evolving fields of Artificial Intelligence and Data Science. Our graduates are well-prepared for rewarding careers in leading technology companies, research organizations, startups, and higher education institutions across the globe.
At the Department of Artificial Intelligence & Data Science, we empower students to transform data into knowledge, ideas into innovation, and technology into solutions for a smarter future.
Prof. Kulkarni S.G.
Head Of Department AI & DS and Vice Principal
Vision
“To be a center of excellence in Artificial Intelligence and Data Science education, fostering innovation, research, and ethical practices to develop globally competent professionals who contribute to technological advancement and societal well-being.”
Mision
- “To provide quality education with a strong foundation in Artificial Intelligence, Data Science, and emerging technologies.”
- “To promote research, innovation, and interdisciplinary learning through industry collaboration and real-world problem solving.”
- “To equip students with practical skills, critical thinking, and lifelong learning abilities.”
- “To nurture ethical values, professionalism, and social responsibility among students.”
- “To nurture ethical values, professionalism, and social responsibility among students.”
Goals
- To prepare students to undertake careers involving innovation and problem solving using computational techniques and technologies, or to undertake advanced studies for research careers or to take up Entrepreneurship.
- Teach students the basic principles that underlie modern computational technology.
- To prepare students for graduate training in some specialized area of computer science.
- To prepare students for jobs in industry, business or government, and to provide support courses for students in engineering, mathematics and other fields requiring computing skills.
- Transform the department and its students into a multidisciplinary stream where students can collaborate with other departments for research.
- Widen the scope of the faculty by helping them pursue cross-discipline research topics like robotics and machine vision.
Faculty Details
Faculty Details
| Sr. No. | Staff Name | Designation | Qualification | Total Exp | Email Id | Photo |
|---|---|---|---|---|---|---|
| 1 | Prof. S G Kulkarni | Assistant Professor | ME CSE | 28+ | shripad.gurunath.kulkarni@bmionline.co.in |  |
| 2 | Dr. S A Mane | Associate Professor | PHD (CSE) | 07 | samane.bmit@gmail.com |  |
Infrastructure Details
Lab Name(Area):
Database Lab
- Computer: HCL Intel(R) Core(TM) I3-550 CPU @ 3.20GHz /RAM 2.00GB/500 GB HDD SATA / Color Monitor /keyboard/optical mouse
- No. of Computer Systems: 20
- D-Link Layer 2 Managed Switch: 1 All equipments for 8085 Microprocessor kit On Line UPS System 7.5 KVA & battery
Lab Details (Major Equipment)
Operating System Lab
- Zenith Premium PC: EFC/CPU E7200/1GB DDRII (667)/160GBSATA (7200, WD)/ (SND, LAN, VGA) G31M3-V2. Logitech Optical mouse/Multimedia Keyboard/19” Color Monitor,10/100/1000 LAN, On board high definition audio
- No. of Computer Systems: 19
- D-Link Layer 2 Managed Switch: 1 Stabilizer On Line Ups System 7.5 KVA & Battery
Lab Details (Major Equipment)
Computer Netwok Lab
- Zenith Computer (Compux System.)Intel core2 DUO E7300 P4 2.6 GHZ ,3MB Cache/VIAIntel G31 chipset motherboard, 2GB DDR-2 RAM/160GB HDD Sata Onboard integrated graphics Logitech Optical mouse/Multimedia Keyboard/19” Color Monitor,10/100/1000 LAN, On board high definition audio
- No. of Computer Systems: 17
- D-Link Layer 2 Managed Switch: 1 On Line Ups System 7.5 KVA & Battery
Lab Details (Major Equipment)
PROJECT LAB
- Zenith computers : Intel core2 DUO E7300 P4 2.6 GHZ, 3MB Cache/VIAIntel G31 chipset motherboard, 2GB DDR-2 RAM/160GB HDD sata Onboard integrated graphics Logitech Optical mouse/Multimedia Keyboard/19” Color Monitor,10/100/1000 LAN,On board high definition audio
- No. of Computer Systems: 05
- HP computer: Intel(R) Core(TM) i3-4160 CPU @ 3.60GHz /RAM 2.00GB/500 GB HDD sata/15.6” Color Monitor
Lab Details (Major Equipment)
SERVER ROOM
- Servers :IBM System (2) x300M2,Intel Xeon Servers : Zenith Computer Intel corei3-550 CPU@ 3.20GHz/, 4GB DDR-2 RAM/500 GB HDD Logitech Optical mouse/Multimedia Keyboard/19” Color Monitor,10/100/1000 LAN, On board high definition audio
- D-Link Layer 2 Managed Switch: 1
- D-Link Layer 3 Managed Switch: 1
- Firewall: Dell Sonic wall NSA 2600
- Internet: 48 MBPS BSNL Leased Line
- Backup System: On Line UPS System 7.5 KVA & Batteries
Lab Details (Major Equipment)
Internet Lab
System Software Lab
Basic Programming Lab 2
SEMINAR/FDP ETC. ATTENDED
SEMINAR/FDP ETC. ATTENDED
| Sr. No. | Title | Level | Arranged by | Name of Faculty | Dates of Program |
|---|
Results
Results
| Sr. No. | Academic Year | Name of Student | Class | University Rank | Marks | Photo |
|---|
Staff Achievements
Staff Achievements
| Sr. No. | Name of Author | Particulars | Received from | Date/Duration |
|---|
Students Achievement
Co-curricular Student Achievements -
To groom the students, BMIT provides a platform to form student council/association and involve them in academic and administrative bodies. The institute promotes students to participate at two levels of bodies, one is at the university level and another is at the college level.
The activities in the Technical, Sports, Social, Magazine & Cultural area are conducted by the student council. BMIT has department student associations like Computer Council from CSE dept.
Through this activity, the student can update their technical skill, planning, designing, and execution. Under each association different departmental technical activities are conducted. This association conducts following activity like Programming context, Gaming, Seminar, paper and poster presentation, project idea competition etc at time of Engineers Day.
Many students every year from dept participate in SEED IDOL conducted by Solapur University and grab prizes. Also participation in National level paper presentation, project presentation and other competition
Extra Curricular Student Achievements –
The main objective of Sports is to ensure all-round development of students through physical activities, produce physically and mentally fit citizens, bring laurels to the college by performing well in various Sports Competitions.
One of our BE CSE student Ms. Supriya Gire achieved excellent remark in sports by participating All India Inter University levels competition and also selected in State level Cricket team. She also played and performed excellent with 2nd and 3rd prizes in wrestling free style, Power lifting at State level.
Special Achievements of Students:
| Sr. No. | Name of Student | Year | Class | Name of Event | Organized By | Level (University/District/State/ National/International) |
Name of Rank |
|---|---|---|---|---|---|---|---|
| 1 | Ms. Supriya Gire | 2017-18 | TE CSE | Weight Lifting 69Kg | Solapur University, solapur | University | 2nd Prize |
| 2 | Ms. Supriya Gire | 2017-18 | TE CSE | Power Lifting 72Kg | Solapur University, solapur | University | 3rd Prize |
| 3 | Ms. Supriya Gire | 2017-18 | TE CSE | Wrestling Free Style 69kg | Solapur University, solapur | University | 3nd Prize |
| 4 | Ms. Supriya Gire | 2017-18 | TE CSE | Cricket (W) | Swami Ramanand Teerth Marathwada University | University | Selected team member of University team for West Zone Inter University |
| 5 | Ms. Supriya Gire | 2017-18 | TE CSE | Wrestling Free Style 69kg | Rohtak University, Hariyana | University | Selected team member of University team for All India Inter University |
| 6 | Ms. Supriya Gire | 2017-18 | TE CSE | Judo Weight 70kg | Solapur University, solapur | University | 2nd Prize |
| 7 | Ms. Supriya Gire | 2017-18 | TE CSE | Wrestling Free Style 69kg | Swami Ramanand Teerth Marathwada University | University | Selected team member of University team for All India Inter University |
| 8 | Mr. Rajesh Gundeli | 2017-18 | TE CSE | Swimming | Solapur University, solapur | University | 3rd Prize |
| 9 | Ms. Nara Priyanka Anand | 2017-18 | TE CSE | Taykwando | Solapur University, solapur | University | 2nd Prize |
Innovative Project Details
Smart Marketing using QR code -
Our final year students (AY 2019-20)developed this project Online Shopping Wall to make the shopping experience simpler, faster and more convenient for consumers. Just as barcode technology transformed the efficiency of retail stores in the early 1980s, Scan and Go is set to become retail’s next great disruptive technology, improving a range of existing retail practices. Just as self-checkout machines are more efficient than waiting in line for an assistant to scan items and process your payments, Scan and Go is the next logical step in streamlining and enhancing the in-store experience.
Single Image Super Resolution Using Machine Learning -
High resolution (HR) image reconstruction from low resolution(LR) image is one of the most important vision application. Despite numerous algorithms have been proposed in recent years, efficient and robust single image super resolution(SISR) reconstruction is still challenging by several factors, such as inherent ambiguous mapping between the LR and HR images, necessary use exemplar images, and computational load etc.
In this project of our final year CSE students(AY2019-20) have designed a algorithm which mainly focuses on conversion of single low resolution image into high resolution image. This can be useful in many cases or areas like video surveillance, satellite imaging ,hospital, defense system, crime investigation etc.
Non Teaching Details
Non Teaching Details
| Sr. No. | Name of Staff | Designation | Qualification | Total Experience | Email-id | Image |
|---|
Syllabus & Time table
Syllabus & Time table
