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Institute of Technology (Polytechnic), Navi Mumbai, Mumbai

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Artificial Intelligence and Machine Learning

About Department

About Department

About Department:

Artificial Intelligence and Machine Learning are integral branches of computer science, closely interconnected and among the most rapidly advancing technologies in today’s digital era. These disciplines serve as the foundation for developing intelligent systems capable of enhancing various aspects of life and work. AI is dedicated to creating systems that replicate human intelligence, enabling machines to carry out tasks that typically require human cognition. In contrast, ML focuses on leveraging data to derive insights and learn from patterns without being explicitly programmed. Artificial Intelligence involves the simulation of human cognitive processes in machines, allowing them to perform complex tasks such as reasoning, learning, and problem-solving. The primary objective of AI is to build intelligent agents capable of understanding, analyzing, and making decisions. This includes a broad spectrum of technologies like machine learning, natural language processing, computer vision, robotics, and applications like drones, among others. Machine Learning, a subset of AI, emphasizes the creation of algorithms and statistical models that empower systems to learn and enhance their performance through data-driven approaches, rather than relying on fixed instructions. ML is widely adopted across industries in areas such as image and speech recognition, natural language processing, recommendation systems, autonomous driving, and other AI-enabled solutions. In essence, AI represents the broader field of developing intelligent systems, while ML focuses specifically on enabling those systems to learn and adapt from data. Together, they are pivotal in advancing modern technology and have far-reaching applications across multiple domains.

  • Year of Establishment:2025
  • Student's Intake:60
  • Head of Department:Mr. Ranjeet Ramesh Pawar
  • Contact - Phone no.:022-27580126, EXT 183
  • Teaching Staff:01+03=04
  • Non-Technical Staff:02

Vision, Mission etc.

Vision

To revolutionize industry and society by leveraging the transformative potential of Artificial Intelligence and Machine Learning.

Mission

  • Deliver high-quality education aimed at developing a skilled workforce proficient in state-of-the-art concepts and technologies within the domains of Artificial Intelligence and Machine Learning.
  • Equip students with technical expertise and entrepreneurial skills to thrive in the evolving AI landscape.
  • Foster a sense of professional ethics, social responsibility, environmental awareness, and commitment to lifelong learning.
  • Establish a center of excellence in AI and computing to promote interdisciplinary research and innovation.

Program outcomes (Pos)

1. Basic and discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve the engineering problems.
2. Problem analysis: Identify and analyze well-defined engineering problems using codified standard methods.
3. Design/ development of solutions: Design solutions for well-defined technical problems and assist with the design of systems components or processes to meet specified needs.
4. Engineering tools, experimentation and testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements.
5. Engineering practices for society, sustainability and environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices.
6. Project management: Use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well-defined
engineering activities.
7. Life-long learning: Ability to analyze individual needs and engage in updating in the context of technological changes.

PEO’s:

PEO – 1. The students will be socially responsible to create environment friendly AI solutions for real-time problems adapting professional ethics.
PEO – 2. The students will practice AI framework and technologies in multidisciplinary work environments.
PEO – 3. The student will be able to work individually and as a team by communicating effectively in their area of work.

PSO’s:

PSO – 1. Students will be able to solve real-life problems using the latest and advanced technologies in artificial intelligence and machine learning.
PSO – 2. Apply knowledge of computer engineering and an understanding of management principles for applying them while managing artificial intelligence and Data science projects.

Faculty

Faculty List and Profiles

Faculty List


S.NoNamePAN No.QualificationArea Of SpecializationDesignationDate Of JoiningDate On Which Designated As Lecturer / Sr. Lecturer/ HODCurrently associated (Y/N)Nature Of Association (Regular/ Contract/ Adjunct)If contractual mention Full time or Part timeDate Of Leaving (In case of Currently associated is "No")
1Mr.Ranjeet PawarAOOPP4110QM.EComputerHOD

`10-1-2006

14-11-2012YRegular  
2Mrs Monicka Nitin JagtapBKIPM8762LB.E.(Electronics Engineering.)Electronics EngineeringLecturer01/01/202501/01/2025YRegular  
3Mrs Rupali Shekar BhosaleAQGPG0667DB.E.( Electronics Engineering)Electronics EngineeringLecturer01/01/202501/01/2025YRegular  
4Mr. Kanda kumaran ThevarBTPPT4965CM. Tech. Information Security (pursuing)Information TechnologyLecturer1-1-202501-01-25YContract  

Faculty Profiles

  1. Mr. Ranjeet Pawar, HOD
  2. Mrs. Rupali Shekar Bhosale
  3. Mr. Kanda kumaran Thevar

Student Faculty Ratio

Year Student Faculty Ratio
2025-2026 21.33:1

Continuous Evaluation System

Continuous Evaluation System

Internal Continuous Evaluation System:
  • Evaluation of the students’ theoretical knowledge and practical performance skills are done continuously for all the courses by the concerned faculty.
  • Assignments are given after the completion of a Chapter in each course (subject).
  • Two Unit Tests are conducted in each semester.
  • During practical sessions, oral questions are asked and the students are assessed based on their ability to understand the Process and Product related to each experiment.

Feedback System

Feedback System

  • Students feedback is take during each semester (D-14 format provided by MSBTE)
  • Students feedback of faculty is taken during each semester.
  • Exit students (students passing out from the college) feedback is also taken.
  • Feedback is also taken from Stake holders like Parents, Alumni and Employers of the students from this Institute.











Details

AICTE 2025-26

































Details

Setting Standards: Polytechnic Education in Navi Mumbai - Bharati Vidyapeeth Institute of Technology

Bharati Vidyapeeth Institute of Technology (BVIT) in Mumbai and Navi Mumbai is a leading institution in Diploma Engineering Education (Best Polytechnic Education in Navi Mumbai ). Established in 1983, BVIT is committed to the vision of its founder, Late Dr. Patangrao Kadam, to bring social transformation through dynamic education. Affiliated with the Maharashtra State Board of Technical Education and approved by the All India Council for Technical Education (AICTE), BVIT has been a trailblazer in technical education. BVIT is the first polytechnic in Mumbai to receive accreditation for all its courses from the National Board of Accreditation (NBA). With departments like Chemical Engineering and Electronics and Telecommunication accredited for multiple terms, BVIT ensures adherence to AICTE and MSBTE standards. Situated in the lush green campus of Bharati Vidyapeeth, Sector 7, BVIT offers a picturesque environment conducive to learning. Its strategic location near major transportation hubs facilitates easy accessibility. Equipped with state-of-the-art laboratories, computer centers, and a vast library, BVIT provides students with the necessary infrastructure for holistic development. Various student-centric activities and industry collaborations ensure practical exposure and skill enhancement. BVIT's commitment to excellence extends to its social initiatives, such as skill development courses for dropouts and collaborations with industry giants like Reliance Industries and TCS. As a project institute for MSBTE activities, BVIT actively contributes to curriculum development and examination processes. BVIT nurtures a culture of self-discipline, hard work, and creativity, preparing students to navigate technological and social challenges effectively. With a focus on holistic development, BVIT shapes responsible citizens and competent professionals, making it a preferred choice for aspiring engineers in Mumbai and Navi Mumbai. Empowering Futures: Training and Placement- Polytechnic Education in Navi Mumbai ? The Training & Placement (T&P) Cell at our institute actively collaborates with both students and corporations to fulfill industry demands by providing top-notch placement services. Over the years, the T&P Cell has expanded its network, now partnering with more than 20 leading organizations for recruiting fresh diploma engineers. With around 10-15 renowned organizations visiting our campus annually, the T&P Cell ensures fair and transparent recruitment processes both on and off-campus. Noteworthy recruiters include Reliance Industries Ltd, Godrej & Boycee Mfg. Co. Ltd, Siemens Ltd, and Hindustan Unilever Ltd. With a steady increase in recruitment offers each year, our T&P Cell continues to excel in securing placements for our students. Conclusion: Bharati Vidyapeeth Institute of Technology (BVIT) stands as a beacon of excellence in polytechnic education in Navi Mumbai, setting standards for quality and innovation since its establishment in 1983. Accredited by the National Board of Accreditation (NBA) for all its courses, BVIT ensures adherence to the highest educational standards set by AICTE and MSBTE. Situated amidst lush greenery in Sector 7, BVIT provides students with a conducive environment for learning, complemented by state-of-the-art facilities and industry collaborations. BVIT's commitment to holistic development is evident through its various student-centric activities and social initiatives, aimed at nurturing responsible citizens and competent professionals. Additionally, the institute's Training & Placement (T&P) Cell plays a pivotal role in empowering students by facilitating top-notch placement services. With an expanding network of leading organizations and a transparent recruitment process, BVIT ensures that students are well-equipped to embark on successful career paths. In essence, BVIT's dedication to excellence in both academic and practical aspects of education makes it a preferred choice for aspiring engineers seeking to shape a bright future in Navi Mumbai's dynamic landscape.
  1. AICTE 2024-25
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