Artificial Intelligence & Data Science
About
The Bachelor’s Degree Programme in Artificial Intelligence & Data Science (AI & DS) at NKOCET was launched in the academic year 2021 – 2022 with an intake capacity of 60 students. The department has been established with a clear vision to impart comprehensive core and technological knowledge in the rapidly growing field of AI and Data Science.
The curriculum is designed to be interdisciplinary, blending Computer Science with Mathematical Foundations, Artificial Intelligence (AI) Techniques, Machine Learning (ML) Principles, Statistical Methods, and Data Science methodologies. This unique approach equips students with the ability to process, analyze, and visualize data, empowering them to apply these interdisciplinary skills to solve real-time, complex problems across various domains.
Graduates of this program are well-prepared for lucrative career opportunities in both public and private sectors. Industries such as business analytics, healthcare, e-commerce, social networking, gaming, sports, entertainment, and more are in high demand for AI and Data Science professionals. Career opportunities for our students include roles such as Data Scientist, AI Engineer, Machine Learning Engineer, Data Analyst, Software Engineer, Research Scientist, AI Algorithm Specialist, and many others.
The Department of AI & DS is dedicated to providing academic excellence, industry exposure, and excellent career opportunities for its students. We offer a holistic learning environment supported by state-of-the-art infrastructure and computing facilities. Our department is led by Dr. M. B. Patil, Head of the Department, and a team of highly motivated and dynamic faculty members committed to continuing the legacy of NKOCET and taking the department to new heights.
Key Highlights
- Industry-Ready Infrastructure:
Our department is equipped with state-of-the-art laboratories featuring high-end Dell, HP, and Lenovo systems, all pre-installed with the latest AI and data science software, including Python, R, TensorFlow, PyTorch, MATLAB, SQL, and cloud computing platforms.
- 24/7 Power Backup & Advanced Peripherals:
A dedicated UPS system ensures uninterrupted learning, while high-speed internet, scanners, printers, multimedia peripherals, and cloud-based storage enhance research and practical applications.
- Strong Industry-Academia Connect:
- Simulated AI & Data Science industry work environment to bridge academic learning with real-world applications.
- Regular expert talks and hands-on workshops covering Machine Learning, Deep Learning, Natural Language Processing, Data Engineering, and AI Ethics.
- Industry visits, study tours, and sponsored projects to provide experiential learning.
- Holistic Student Development:
- The AI & DS Student Association fosters technical, leadership, and entrepreneurial skills through hackathons, coding competitions, and research initiatives.
- Students are encouraged to present research papers and publish in national and international journals.
- Student-Centric Approach:
- Personalized mentoring and academic support to help students excel in AI & DS.
- Regular career guidance, counseling, and skill enhancement sessions to support both academic and personal growth.
- Remarkable Academic Performance:
Our department has a strong track record of academic excellence, high university rankings, and successful placements in top AI-driven companies.
Strengths of the Department
- Holistic Learning Environment: Promoting all-round student development.
- Quality Student Intake: Attracting top talent for the program.
- Strong Alumni Network: A robust NKOCET alumni base offering industry connections.
- Talented and Motivated Faculty: Committed and passionate faculty members.
- State-of-the-art Laboratories: Well-equipped facilities to support student learning and innovation.
- The Department of AI & DS at NKOCET offers a promising path for students to become leaders in the exciting and transformative fields of Artificial Intelligence and Data Science.
The Department of Artificial Intelligence and Data Science aims to be a leading centre for Artificial Intelligence and Data Science education, ensuring academic excellence, fostering industry-readiness, and promoting techno-societal research. Our goal is to shape future leaders in the field of AI and Data Science, preparing them to address real-world challenges with cutting-edge solutions.
Our mission is to cultivate a culture of excellence through:
- Innovative Teaching-Learning: Striving for excellence in education by promoting creativity, critical thinking, and higher-order cognitive skills development.
- Industry Collaboration: Strengthening partnerships with industry leaders to enhance practical learning and skill development.
- Holistic Education: Fostering personality development to prepare students for a wide range of challenges and opportunities.
- Life Skills & Entrepreneurship: Encouraging students to work in multidisciplinary fields and empowering them to pursue entrepreneurial ventures.
- Industry-Ready Engineers: Providing an education that equips students with the skills needed to thrive in the rapidly evolving world of AI and Data Science.
- Promoting Research: Encouraging research in emerging areas of AI and Data Science to advance technology and address societal needs.
Artificial Intelligence (AI) and Data Science (DS) are rapidly expanding fields in Computer Science and Engineering. These disciplines utilize innovative tools and techniques to extract valuable insights from data and create intelligent systems.
Our B.Tech. in Artificial Intelligence and Data Science (AI & DS) program provides a comprehensive education in AI, machine learning, data science, deep learning, and analytics. This specialized undergraduate course prepares students to develop intelligent machines, software, and applications using the latest in AI, data visualization, and machine learning technologies.
Programme Educational Objectives (PEOs)
PEO1. To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.
PEO2. Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.
PEO3. Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting
Programme Outcomes (POs)
PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using
PO3. 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.
PO4. 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.
PO5. 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.
PO6. 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.
PO7. 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.
PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10. 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.
PO11. 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 multidisciplinary 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 Specific Outcomes (PSOs)
PSO1. Apply the fundamentals of science, mathematics and engineering knowledge to design, development, formulates and investigate complex engineering problems related to application area in Artificial Intelligence and Data Science.
PSO2. Provide exposure to latest tools and technologies and aware of the impact of professional engineering solution in environmental, societal, professional ethics and able to communicate effectively.
PSO3. To publish research paper and think, innovates in artificial intelligence, machine Learning and Data Science domain
Course Outcomes
Course Outcomes defines where we outline the knowledge and skills students will gain upon successful completion of each course. Our curriculum is designed to provide a strong foundation in engineering, artificial intelligence, data structures, computer architecture, human rights, and more. Below are the detailed course outcomes for each subject.
Second Year - Semester I
Engineering Mathematics – III (BTES301)
CO1. Understand the concepts of Laplace Transform (LT) and Inverse Laplace Transform (ILT).
CO2. Solve problems related to Fourier Transform and apply them in Deep Learning, Signal, and Image Processing.
CO3. Apply linear algebra concepts in Linear Programming, Computer Graphics, and Cryptography.
CO4. Understand Partial Differential Equations (PDE) and their applications in data analysis.
CO5. Analyze functions of complex variables.
An Introduction to Artificial Intelligence (BTAIC302)
CO1. Discuss the meaning, scope, and stages of Artificial Intelligence.
CO2. Implement problem space and search strategies for solving problems.
CO3. Explain search techniques and knowledge representation.
CO4. Apply search techniques to solve Constraint Satisfaction Problems and Game-playing.
CO5. Explore AI applications and analyze their societal impact.
Data Structure and Algorithm using Python (BTAIC303)
CO1. Write programs using fundamental Python programming concepts.
CO2. Implement algorithms for arrays, linked structures, stacks, queues, trees, and graphs.
CO3. Develop programs utilizing various data structures.
CO4. Compare dynamic and static data structure implementations.
CO5. Analyze the computational efficiency of key algorithms for sorting, searching, and hashing.
Computer Architecture & Operating Systems (BTESC304)
CO1. Understand how computers work.
CO2. Learn the basic instruction set of a computer.
CO3. Analyze computer performance.
CO4. Understand computer design principles.
CO5. Comprehend control unit design.
Digital Logic & Signal Processing (BTESC305)
CO1. Understand CPU architecture and analyze design aspects such as speed, cost, and performance.
CO2. Use tools for designing, verifying, and testing CPU architecture.
CO3. Comprehend parallel processing, pipelining, and inter-processor communication.
CO4. Describe the fundamental components of an operating system.
CO5. Understand policies for scheduling, deadlocks, memory management, synchronization, system calls, and file systems.
Artificial Intelligence Lab & Data Structure and Algorithm using Python Lab (BTAIL306)
Artificial Intelligence Lab
CO1. Understand AI concepts and their applications.
CO2. Implement problem space and search strategies.
CO3. Discuss search techniques and knowledge representation.
CO4. Apply search methods for solving Constraint Satisfaction Problems and Game-playing.
CO5. Analyze the impact of AI applications on society.
Data Structure and Algorithm using Python Lab
CO1. Develop Python programs utilizing fundamental concepts.
CO2. Implement and utilize data structures such as arrays, stacks, and graphs.
CO3. Compare dynamic and static data structures.
CO4. Analyze sorting, searching, and hashing algorithm efficiencies.
Seminar – I (BTAIS307)
CO1. Demonstrate technical knowledge of their selected seminar topic.
CO2. Identify, formulate, and solve engineering problems.
CO3. Design engineering solutions using a systems approach.
CO4. Deliver effective presentations and enhance soft skills.
Field Training / Internship / Industrial Training Evaluation (BTES211P)
CO1. Integrate theory and practice in an industry setting.
CO2. Develop essential soft skills such as time management and communication.
CO3. Assess challenges and opportunities within the internship organization.
CO4. Compile a company profile, including its history, structure, and market performance.
Second Year - Semester II
Data Analysis (BTAIC401)
CO1. Preprocess raw data for analysis.
CO2. Apply exploratory data analysis techniques.
CO3. Derive probability density functions and generate data distributions.
CO4. Understand statistical models for data science applications.
CO5. Implement machine learning algorithms for prediction and insights.
Database Management System (BTAIC402)
CO1. Understand relational database management systems (RDBMS) and their types.
CO2. Perform SQL operations including DDL, DML, and DCL.
CO3. Differentiate between relational and non-relational databases.
CO4. Design NoSQL database systems.
CO5. Identify appropriate NoSQL database implementations for business applications.
Basic Human Rights (BTHM403)
CO1. Understand the history and evolution of human rights.
CO2. Respect cultural, regional, and religious diversity.
CO3. Be aware of their rights as Indian citizens.
CO4. Recognize the role of communities in society.
CO5. Appreciate the philosophical and cultural basis of human rights.
Probability Theory and Random Processes (BTBS404)
CO1. Understand probability concepts and standard distributions.
CO2. Apply random variables in engineering applications.
CO3. Utilize random processes in engineering disciplines.
CO4. Understand correlation and spectral densities.
CO5. Analyze real-world systems using probability and random processes.
Programming in Java (BTAIPE405D)
CO1. Understand core Java concepts.
CO2. Implement packages and interfaces.
CO3. Apply exception handling and multithreading techniques.
CO4. Utilize Java Database Connectivity (JDBC).
CO5. Develop applications using Applets, Event Handling, and AWT.
Data Analysis Lab & Database Management System Lab (BTAIL406)
Data Analysis Lab
CO1. Perform data preprocessing for analysis.
CO2. Apply exploratory data analysis techniques.
CO3. Generate probability density functions.
CO4. Utilize statistical tests and models for data science applications.
CO5. Implement machine learning algorithms for prediction.
Database Management System Lab
CO1. Understand relational database management system fundamentals.
CO2. Perform SQL database operations.
CO3. Differentiate between relational and non-relational databases.
CO4. Design and implement NoSQL databases.
CO5. Identify appropriate NoSQL database implementations for specific applications.
Seminar – II (BTCOS407)
CO1. Develop a structured technical presentation.
CO2. Conduct a detailed literature survey.
CO3. Analyze and interpret available data.
CO4. Utilize new technologies (e.g., LaTeX) for technical documentation.
CO5. Improve technical presentation and soft skills.
Field Training / Internship / Industrial Training Evaluation (BTCOF408)
CO1. Integrate theoretical knowledge with practical industry experience.
CO2. Develop essential workplace soft skills.
CO3. Analyze challenges and growth opportunities in their internship sector.
CO4. Compile a company profile including management structure, market performance, and key achievements.
Third Year - Semester I
Computer Network and Cloud Computing (BTAIC501)
CO1. Analyze organizational networking needs and determine the best architecture and technologies.
CO2. Identify deficiencies in existing protocols and recommend improved alternatives.
CO3. Develop foundational skills in installing and configuring networking applications.
CO4. Understand various cloud computing environments and their applications.
CO5. Apply virtualization concepts and cloud services for designing and deploying cloud applications.
Machine Learning (BTAIC502)
CO1. Gain a strong foundation in fundamental machine learning principles.
CO2. Formulate real-world problems into machine learning tasks.
CO3. Develop models using supervised and unsupervised learning algorithms for classification, prediction, and clustering.
CO4. Evaluate machine learning algorithms’ performance across diverse datasets.
CO5. Implement machine learning solutions using programming languages such as Python.
Business Communication (BTAIHM503B)
CO1. Understand the principles of effective business communication.
CO2. Develop intercultural communication skills for professional settings.
CO3. Identify barriers to communication and strategies to overcome them.
CO4. Enhance interpersonal communication techniques.
CO5. Learn negotiation and conflict management skills.
Advanced Database Systems (BTAIPE504A)
CO1. Understand the fundamental concepts of database systems.
CO2. Analyze relational database models and structures.
CO3. Implement advanced SQL techniques for database management.
CO4. Explore data warehousing and data mining concepts.
CO5. Learn advanced transaction processing methods.
Machine Learning Lab (BTAIL506a)
CO1. Reinforce fundamental machine learning principles through hands-on practice.
CO2. Formulate and implement machine learning solutions for real-world problems.
CO3. Develop models using supervised and unsupervised algorithms.
CO4. Evaluate model performance using diverse datasets.
CO5. Implement machine learning solutions in Python.
Competitive Programming Lab (BTAIL506b)
CO1. Apply time complexity rules and C++ STL classes for efficient problem-solving.
CO2. Utilize string and mathematical algorithms in programming challenges.
CO3. Implement sorting algorithms within data structures for optimized solutions.
CO4. Choose the most suitable data structure for specific problem scenarios.
CO5. Solve complex problems using dynamic programming techniques.
Third Year - Semester II
Deep Learning (BTAIC601)
CO1. Implement deep learning models using Keras/PyTorch with real-world datasets.
CO2. Design convolutional neural networks (CNNs) for image classification.
CO3. Optimize deep learning models using regularization and hyperparameter tuning.
CO4. Develop recurrent neural networks (RNNs) for text and sequence classification.
CO5. Apply generative deep learning techniques to create images.
Advanced Machine Learning (BTAIC602)
CO1. Implement deep learning models using Python libraries such as Keras/PyTorch.
CO2. Formulate association rules mining and recommendation systems.
CO3. Interpret reinforcement learning models for decision-making applications.
CO4. Evaluate time-series data using advanced techniques.
CO5. Implement machine learning boosting techniques for performance enhancement.
Web Development (BTAIPE603D)
CO1. Develop and analyze web pages using HTML and CSS.
CO2. Implement client-side web development technologies.
CO3. Explore concepts related to Servlets and JSP for web applications.
CO4. Understand web services and frameworks for enhanced development.
CO5. Utilize server-side technologies for full-stack web solutions.
Cryptography & Network Security (BTAIOE604B)
CO1. Understand fundamental cryptographic techniques and security protocols.
CO2. Analyze security requirements for information systems.
CO3. Examine legal and ethical issues in cybersecurity.
CO4. Develop transport-level security solutions.
CO5. Apply cryptographic principles in designing secure systems.
Employability and Skill Development (BTAIHM605B)
CO1. Enhance soft skills and professional communication abilities.
CO2. Strengthen arithmetic, mathematical reasoning, and analytical thinking.
CO3. Improve grammatical accuracy and language proficiency.
CO4. Develop strong interview and presentation skills.
CO5. Cultivate problem-solving strategies for workplace challenges.
Deep Learning Lab (BTAIL606a)
CO1. Implement deep learning models using Python-based frameworks.
CO2. Design and evaluate CNN architectures for image processing tasks.
CO3. Optimize model performance using advanced regularization techniques.
CO4. Develop RNN models for text and sequence analysis.
CO5. Apply generative models for AI-driven image generation.
Advanced Machine Learning Lab (BTAIL606b)
CO1. Implement deep learning models using Python frameworks.
CO2. Develop association rules mining and recommendation system solutions.
CO3. Apply reinforcement learning to interpret and optimize models.
CO4. Analyze time-series datasets for predictive modeling.
CO5. Implement advanced boosting techniques for enhanced machine learning models.
Final Year
C701|BTAIC701|Natural Language Processing
After the successful completion of this course student will be able to:
CO1. Understand the basics of Natural language processing.
CO2. Analyze the different language models and vector semantics.
CO3. Understand the sequence labelling for text analysis.
CO4. Implement text classification and sentiment analysis systems.
CO5. Implement recurrent network for language models and illustrate the NLP applications.
C702|BTAIC702|Advanced Computer Vision
After the successful completion of this course student will be able to:
CO1. Demonstrate a solid understanding of fundamental computer vision & image processing concepts.
CO2. Apply various computer vision algorithms and techniques in image processing.
CO3. Apply various computer vision algorithms and techniques to solve real-world engineering problems, such as object recognition, motion analysis, and texture.
CO4. Analyze and interpret results obtained from computer vision algorithms, and critically evaluate their performance and limitations
CO5. Implement and evaluate computer vision algorithms using programming languages and libraries commonly used in the field, such as Python and OpenCV
C703|BTAIC703 |Data Engineering
After the successful completion of this course student will be able to:
CO1. Understand the importance of data engineering and its workflow in managing and integrating data from various sources.
CO2. Apply advanced data manipulation techniques using Excel functions and tools for efficient data processing.
CO3. Utilize Power BI to connect, transform, and model data from diverse sources into meaningful relationships
CO4. Employ Tableau to prepare and transform data through connections, blending, and calculated fields.
CO5. Integrate and automate data pipelines across tools to streamline data workflows and promote collaboration.
C704|BTAIPE704D|Full Stack Development
After the successful completion of this course student will be able to:
CO1. Implement and analyze behavior of web pages using HTML and CSS
CO2. Apply the client-side technologies for web development
CO3. Analyze the concepts of Servlet and JSP
CO4. Analyze the Web services and frameworks
CO5. Apply the server-side technologies for web development
C705|BTAIOE705B|Blockchain Technology
After the successful completion of this course student will be able to:
CO1. Explain the fundamental characteristics of blockchain using bitcoin.
CO2. Demonstrate the application of hashing and public key cryptography in protecting the blockchain.
CO3. Explain the elements of trust in a Blockchain: validation, verification, and consensus.
CO4. Develop smart contracts in Ethereum framework.
CO5. Blockchain Use cases
C706|BTAIL707(a)|Natural language Processing Lab and Data Engineering Lab
After the successful completion of this course student will be able to:
CO1. Understand the basics of Natural language processing.
CO2. Analyse the different language models and vector semantics.
CO3. Understand the sequence labelling for text analysis.
CO4. Implement text classification and sentiment analysis systems.
CO5. Implement recurrent network for language models and illustrate the NLP applications.
C706|BTAIL707(b)|Data Engineering Lab
After the successful completion of this course student will be able to:
CO1. Understand the importance of data engineering and its workflow in managing and integrating data from various sources.
CO2. Apply advanced data manipulation techniques using Excel functions and tools for efficient data processing.
CO3. Utilize Power BI to connect, transform, and model data from diverse sources into meaningful relationships
CO4. Employ Tableau to prepare and transform data through connections, blending, and calculated fields.
CO5. Integrate and automate data pipelines across tools to streamline data workflows and promote collaboration.
C707|BTAIM708|PROJECT
After the successful completion of this course student will be able to:
CO1. Identify and formulate Engineering problem addressing needs of Industry & Society.
CO2. Conduct investigations of the Engineering problem formulated by using Engineering Sciences.
CO3. Design and develop solution(s) for Engineering problem with due consideration to public health, safety, culture, society, environment and sustainability.
CO4. Create, select and apply modern tools for investigating, designing and developing solution(s) to engineering problem.
CO5. Work as individual and in team for communicating and managing the project work and its finances.
CO6. Apply professional ethics while identifying the problem, investigating the problem, designing a solution to the problem, working as an individual or team for communicating and managing the project work and its finances.
CO7. Develop ability for independent & lifelong learning.
Industrial Visits
| Sr. No | A.Y. | Semester | Placed Name | Date |
|---|---|---|---|---|
| 01 | 2023-24 | Semester-II | Industry Visit to Jamshri Reality limited & Core Integra Global | 03/05/2024 |
| 02 | 2024-25 | Semester-II | Industry Visit to Cyber Department Solapur Rural Police | 17/03/2025 |
MOUs
| Sr. No | Name of Company | Date |
|---|---|---|
| 01 | Earth Solutions, Solapur. | 08/05/2024 |
| 02 | Techno Signia SOFTWARE TRAINING & PLACEMENT INSTITUTE | 17/05/2024 |
Workshops
| Sr. No | A.Y. | Semester | Subject Topic | Date |
|---|---|---|---|---|
| 01 | 2022-23 | Semester-I | Resent Trend in AI&ML | 08/09/2022 |
| 02 | 2022-23 | Semester-I | Expectations of Industry From Buddy IT Engg. | 23/09/2022 |
| 03 | 2022-23 | Semester-I | Cyber Security | 10/11/2022 |
| 04 | 2022-23 | Semester-I | Personality Development | 29/11/2022 |
| 05 | 2022-23 | Semester-II | TIAA Expert Talk | 29/03/2023 |
| 06 | 2023-24 | Semester-I | Campus to Corporate | 17/08/2023 |
| 07 | 2023-24 | Semester-I | Infosys Springboard Program | 06/09/2023 |
| 08 | 2023-24 | Semester-I | Cognizant Outreach Program | 16/09/2023 |
| 09 | 2023-24 | Semester-I | Career Enhancement & Self-Motivation | 17/09/2023 |
| 10 | 2023-24 | Semester-I | Fundamentals of Bitcoin & Black Chain Technology | 27/09/2023 |
| 11 | 2023-24 | Semester-I | Technical Guidance for Placement | 01/10/2023 |
| 12 | 2023-24 | Semester-I | IOT based application in AI&ML | 18/10/2023 |
| 13 | 2023-24 | Semester-I | Workshop on HTML, CSS, JAVA Script | 30/10/2023 |
| 14 | 2023-24 | Semester-I | AWS Model Workshop | 31/10/2023 |
| 15 | 2023-24 | Semester-I | Cyber Crime & Awareness | 06/11/2023 |
| 16 | 2023-24 | Semester-II | Seminar on Cloud Computing | 14/02/2024 |
| 17 | 2023-24 | Semester-II | Technical Session on Java Full Stake WD | 23/02/2024 |
| 18 | 2023-24 | Semester-II | Gemini AI & AI tools | 26/02/2024 |
| 19 | 2023-24 | Semester-II | AM I Friendly with me | 29/02/2024 |
| 20 | 2023-24 | Semester-II | Foundation of character | 26/03/2024 |
| 21 | 2023-24 | Semester-II | Cloud Computing | 16/05/2024 |
| 22 | 2023-24 | Semester-II | BHR Session | 17/05/2024 |
| 23 | 2024-25 | Semester-I | Guest Lecture on CNCC | 19/09/2024 |
| 24 | 2024-25 | Semester-I | Crafting Compelling Research - Expert Insights on Article Writing | 10/10/2024 |
| 25 | 2024-25 | Semester-I | Workshop on Set tools | 19/10/2024 |
| 26 | 2024-25 | Semester-I | Workshop on Tableau | 19/11/2024 |
| 27 | 2024-25 | Semester-II | Guest Leacture on C Fundamentals | 27/02/2025 |
| 28 | 2024-25 | Semester-II | Guest Leacture on Stress Managment | 25/04/2025 |
| Sr. No. | Laboratory Names | Laboratory In-charge |
|---|---|---|
| 1 | Machine Learning Lab | Prof. A. S. Adhatrao |
| 2 | Data Science Lab | Prof. S. G. Sanmukh |
| 3 | Artificial Intelligence Lab | Prof. G. N. Chanderki |
| 4 | Deep Learning Lab | Prof. G. N. Swami |
| 5 | Programming Lab | Prof. N. B. Aherwadi |
| 6 | Project Lab | Prof. V. A. Sangolgi |
| 7 | IOT Lab | Prof. S. A. Langote |
Student Achievements
Event Images
Student Achievements
| Sr. No | Academic Year | SEM | Name student | Name of Activity | Achivement | Organizer | Type |
|---|---|---|---|---|---|---|---|
| 1 | 2022-23 | II | Mr. Nidhish Sangolkar Mr. Uzair Attar Mr. Shadab Khan Mr. Aditya Kali | Football Tournament | Winner in Football | Smash 2k22 NKOCET | Sport |
| 2 | Mr.Abdulbasit Patwegar Mr. Uzair Attar Mr. Shadab Pathan Mr. AbdulGani Shaikh | Ideathon 3.0 | Finalist | AnkurGECA Incubation Centre Foundation (AICF) and Enterpreneurship Development Cell. Aurangabad. | Technical | ||
| 1 | 2023-24 | I | Ms. Diksha Kulkarni | Chess Tournament | 1st Prize | DBATU Solapur Region Intercollegiate Chess Tournament,at Gramin Technical Campus,Nanded. | Sport |
| 2 | Ms. Diksha Kulkarni | Chess Tournament | 1st Prize | Inter Zonal Chess Tournament Held at RC Patel College of Engineering, Dhule | Sport | ||
| 3 | Mr.Uzair Attar Mr. Shadab Khan Mr.Sohan Katageri Mr.Vardhan Chinta | Football Tournament | Runner's Up position | DBATU Solapur Intercollegiate Football Tournament | Sport | ||
| 4 | Vedika Chandrakant Kadam(8.64 SGPA) | Academic Achievement | Departmental 1st Rank | DBATU EXAM | Academic Achievement | ||
| 5 | Nandkishor Ambadas Yele (8.55 SGPA) | Academic Achievement | Departmental 2nd Rank | DBATU EXAM | Academic Achievement | ||
| 6 | Kartik Dattatray Aursang (8.20 SGPA) | Academic Achievement | Departmental 3rd Rank | DBATU EXAM | Academic Achievement | ||
| 7 | II | Mr. Shubham Vidap Mr. Swayam Mulmane Mr. Satyam Doijode Mr. Aditya Vadaje | - | Paper Published in SCOPUS Index Scopus-Journal"PROCEDIA COMPUTER SCIENCE" | International Scopus-Conference - ICIDA 2024 | Technical | |
| 8 | MS. Vaishnavi Kshirsagar MS. Aashlesha Gurram Ms. Vitthal Gajjal | - | Patent Office Government of India "Health Monitoring Robot for Continuous Health Management" | Patent office Government of India | Technical | ||
| 9 | Mr. Shriraj Vallamdeshi Mr. Vinay Hipparge Mr. Sairam Gudeli Mr. Rahul Chavan | Hackathon | d Prize and Price Money Rs. 30,000/- | Rajasthan Police Hackathon | Technical | ||
| 10 | Abdul Basit Patwegar Ms. Rohini Koli Ms. Aafra Naikwadi Mr. Abdul Gani Shaikh | Research Paper Titled "Gen ConVit +: Advanced hybrid framework for Deepfake detection for safeguarding digital India integrity" | Paper Published in SCOPUS Indexed Scopus-Journal of Integrated Science and Technology, 2024,12(5).820. | SCOPUS Indexed Scopus-Journal of Integrated Science and Technology, 2024,12(5).820. | Technical | ||
| 11 | Mr. Mohmad Zaid Sutar | India Skills Competition | Won the Cluster Level round | India Skills competition | Technical |
||
| 12 | Ms. Diksha Kulkarni | Chess Competition | 1st Prize | Engineering Yourth Festival,NKOCET S | Sport | ||
| 13 | Mr. Shriraj Vallamdeshi Mr. Vinay Hipparge Mr. Sairam Gudeli Mr. Rahul Chavan | Hackathon | Shortlisted for Final Round | SVERI'S College of Engineering, Pandharpur | Technical | ||
| 14 | Ms. Laxmi Mallikarjun Nagansure | Paper Presentation Title of Paper: "IOT Application in Power System." | ze and Price Money 5000 Rs. | VVP Institute of Engineering &Technology,Solapur. | Technical | ||
| 15 | Mr. Vithal Gajjal | Volleyball Tournament | Secured 2nd position in the EYF Volleyball Tournament | EYF Volleyball Tournament,NKOCET | Sport | ||
| 16 | Mr. Pranav Pavale | Cricket Tournament | Secured 2nd position in the EYF Cricket Tournament | EYF Volleyball Tournament,NKOCET | Sport | ||
| 17 | 2024-25 | Ms. Shifa Khan Ms. Gayatri Vidhate Mr. Shardul Tipe Ms. esha Gurram Mr. Nankishor Yele Mr. Aditya Vadaje Mr. Uzair Attar Ms. Sakshi Swami Ms. Rohini Koli Mr. | Qspider Incubation Screening Drive | Selected in Qspider Incubation Screening Drive | Qspider, Pune. | Technical | |
| 18 | Mr. Sourabh Shendge Ms. Vaishanavi Kshirsagar Ms. Aafra Naikwadi Mr. Shubham Vidap | iTPrenur Screening Drive | Selected in iTPrenur Screening Drive | iTPrenur, Pune. | Technical | ||
| 19 | Ms. Vaishanvi Masale | Paper Spark Competition | Runner's Up position in the Paper Spark Competition at Kalpak 2k24-25 SSWCE, Solapur | SSWCE, Solapur | Technical | ||
| 20 | Ms. Aafra Naikwadi | MATPO Group Discussion Idol | 1st Prize | MATPO | Technical | ||
| 21 | Ms. Vedika Kadam Mr. Shashank Aadam Ms. Soujanya Donta s. Prachita Bhimanpalli Ms. Nupur Deshpande | Kiran Acadent Drive | Selected in Kiran Academy Drive | Kiran Academy, Pune. | Technical | ||
| 22 | Ms. Shrushti Katwe | Profound Drive | Selected in Profound Drive | Profound, Pune. | Technical | ||
| 23 | Ms. Diksha Kulkarni | Chess Tournament | 1st Prize | Dbatu Zonals Lookmangal College of Pharmacy, Wadal. | Sport | ||
| 24 | Ms. Diksha Kulkarni | Badminton Tournament | 1st Prize | Zonal Tournament at Lookmangal College of Pharmacy, Wadal. | Sport | ||
| 25 | 1.Mr. Kaushik Yarzal 2. Vardhan Chinta 3. Akash Rathod . Uzair Attar 5. Shadab Khan | Football Tournament | Won the Solapur Inter College Tournament | Zonal Inter-College Tournament on 26- 10-2024 at NKOCET,Solapur. | Sport | ||
| 26 | . Shreya Yalshetti . Khushaboo Shaikh Vaishnavi Devakate 4. Shruti Waghmare | Volleyball Tournament | Won the Solapur Inter College Tournament | Solapur Zonal Inter College Volleybal Tournament at MDA College of Pharmacy, Kolpa, Latur. | Sport | ||
| 27 | Mr. Pankaj Sakhare | Badminton Tournament | 2nd prize | Zonal Tournament at Lookmangal College of Pharmacy, Wadal. | Sport | ||
| 28 | Mr. Ganesh Kachare | 81kg Judo Category | 1st Prize | DBATU Inter-Zonal Tournament 2024 in Dhule | Sport | ||
| 29 | Mr. Ganesh Kachare | 79 Kg Freestyle Wrestling Category | 2nd prize | DBATU Inter-Zonal Tournament 2024 in Dhule | Sport | ||
| 30 | r. Avinash Chavan Mr. Ganesh Kachare | Kabaddi Tournament | 3rd Prize | DBATU Inter-Zonal Kabaddi Tournament 2024 held at GTMC, Nanded. | Sport | ||
| 31 | Ms. Diksha Kulkarni | Chess Tournament | 1st Prize | DBATU Inter-Zonal Chess Tournament 2024 held at NKOCET Solapur, | Sport | ||
| 32 | Ms. Simrah Golandaj | Women's Basketball Tournament | 3rd Prize | DBATU Inter-Zonal Basketball Tournament 2024 held at NKOCET Solapur, | Sport | ||
| 33 | Shadab Farmanullah Khan Pathan | Digi pro NPCI Hackathon | Prize and Prize Money of Rs. 50000. | IIT Mumbai | Technical | ||
| 34 | Ms. Aauti Dhupad s.Shruti Waghmare Ms. Varsha Devdas | TYNET 2.0, an International Women's ckathon Problem statement : Solid Waste Management | d Prize and Prize Money of Rs. 5000 | Dr. D. Y. Patil University's Ramrao Adik Institute of Technology. | Technical | ||
| 35 | II | Shadab Farmanullah Khan Pathan | I Hack AWS Financial Security | Prize and Prize Money of Rs. 30000. | IIT Mumbai | Technical | |
| 36 | Ms.Shruti Waghmare Ms. khushboo shaikh S | SMASH Woman's Volleyball Tournament | 3rd Prize Winner. | BMIT,Solapur. | Sport |
| Sr. No. | Students' Names | Activity | Activity Details |
|---|---|---|---|
| 1 | Diksha Atul Kulkarni | Sports (Chess) | 1. First prize in the Inter-College Chess Tournament was held at Gramin College, Nanded on 15 Nov 2023. 2. First Prize in Inter zonal Chess Tournament was held at RC Patel College of Engineering, Dhule on 24 Dec 2023. 3. Selected for the Inter-University Chess Tournament held in January 2024. 4. 200th Rank at State Level Women's FIDE Rating Chess Tournament held on 29th to 31st May 2024. |
| 2 | 1.Shiraj Vasudev Vallamdeshi 2.Vinay Ravindranath Hipparge 3.Sairam Narayan Gudeli 4.Rahul Ambadas Chavan | Hackthon (First Runner-Up) | Team Tech AI Team got "First Runner-Up" Prize in "HackXcelerate Hackathon" with Prize Money Rs. 50,000, organized by CBIT College, Hyderabad in collaboration with Microsoft and ByteXL on 26th and 27th April 2024. |
| 3 | 1.Shiraj Vasudev Vallamdeshi 2.Vinay Ravindranath Hipparge 3.Sairam Narayan Gudeli 4.Rahul Ambadas Chavan | Hackthon (Second Runner-Up) | Team Tech AI Team got "Second Runner-Up" Prize in "CIDECODE Hackathon" with Prize Money Rs. 30,000, organized by "Centre for Cybercrime Investigation Training & Research & CID Karnataka Department" held on 2nd and 3rd March 2024 at PES University, Karnataka. |
| 4 | 1.Vaishnavi Rupesh Kshirsagar 2.Aashlesha Shrikant Guram 3.Vitthal Shrinivas Gajjal | PATENT Publication | Published Patent Titled "Smart Health Monitoring Robot" on 12/01/2024. |
| 5 | 1.Shubham Shivam Vijayde 2.Satyam Sachin Dojode 3.Swayam Yuvraaj Mulame 4.Aditya Sandeep Vadje | Paper Publication | Enhancing Cross-Lingustic Image Caption Generation with Indian Multilingual Voice Interfaces using Deep Learning Techniques" in Procedia Computer Science Volume 233, 2024, Pages 547-557. |
| 6 | 1.Abdul Basit Patwegar 2.Rohini Sevruk Patil 3.Anita Nazir Husein Naikwadi 4.Rohit Ganesh Sha | Paper Publication | GenConVit: Advanced hybrid framework for deep fake detection for safeguarding digital media integrity" in Journal of Integrated Science of Technology 2024-03-04. |
| 7 | 1.Rohit Raghunath Manurkar 2.Dandoti Abdul Sattar Iqbal | Paper Publication | Enhancing Fake Product Review System Using Machine Learning Algorithm" in ICDSAI2024. |
| 8 | 1.Onkar Nanat Bhose 2.Anurag Vivek Deshmukhe | Paper Publication | Stock Price Prediction With LSTM Neural Network Using Deep Learning Techniques" in ICDSAI2024. |
Student Association List
| Sr.No | Posts | Class | Name of Student | Mentor |
|---|---|---|---|---|
| 1 | President | TY | Laxmi Mallikarjun Nagansure | - |
| 2 | Vice- President | SY | Boga Parshuram Vishal | - |
| 3 | Secretary | TY | Rani Mohan Sathe | - |
| 4 | Treasurer | TY | Vishwajeet Waghmare | - |
| 5 | Event Co-ordinator | SY | Anas Abidkha Pathan | Kartik Aursang |
| SY | Arundhati Arvind Jangale | |||
| SY | Vaishnavi Suresh Devakate | |||
| SY | Ruqayya Patel | |||
| TY | Rajrajeshwar Shriniwas Margam | Kota Sudanshu | ||
| TY | Shaikh mohammed arshad mohammed arif | |||
| TY | Asad Sajid Dongari | |||
| TY | Manav Mule | |||
| 6 | Public Relation Officer | SY | Srushti Sanjay Wadi | - |
| SY | Simrah Sameer Golandaj | - | ||
| TY | Hujefa Adam Patel | - | ||
| 7 | Technical Lead | TY | Moutasim Qazi (Leader) | Shubham Vidap |
| TY | Akash Santosh Shinde | |||
| TY | Anjali waghmare | Sairam Gudeli | ||
| TY | Kartikesh Dattatraya Belamkar | |||
| 8 | Project Manager | SY | Aryan Kota | - |
| TY | Varsha Ganesh Devdas | Shriraj Vasudev Vallamdeshi | ||
| TY | Aarti Sidramappa Dhupad | Omkar Nagnath Bhosale | ||
| 9 | Membership Coordinator | SY | Shreya Chandrashekhar Yalshetti | - |
| TY | Priya Tanaji Kadam | - | ||
| 10 | Community Outreach Officer | SY | Suhani Mane | - |
| TY | Abdul khalik sadik husain valsangkar | - | ||
| 11 | Academic Affairs officer | SY | Suraj Singh DigvijaySingh Bayas | Nupur Nitin Deshpande |
| TY | Tasneem Shaikh | |||
| TY | Uzma Ashpak Bagwan | |||
| 12 | Creative Director | SY | Shrujana Pentappa Vangari | - |
| SY | Vedha vaibhav homkar | - | ||
| SY | Viha Vikram Hibare | - | ||
| TY | Sagar Chandrashekhar Birajdar | - | ||
| 13 | Training & Placement Representative | TY | Shahid Mulani | - |
| TY | Onkar Siddheshwar Jamma | - | ||
| TY | Shravani Ravikumar Pasnur | - | ||
| 14 | Discipline Committee | SY | Rohan Rajendra Hanamane | Momin Amin |
| TY | Prasenjeet Waghmare | Anurag Vivek Deshmukhe | ||
| TY | Mohammed Aman Ashraf Ali Shaikh | - | ||
| 15 | Girls Representative | SY | Mayuri Rajendra Suryavanshi | Srushti Prabhakar Katwe |
| SY | Shraddha dhanraj hulmajage | |||
| TY | Zoha NasirKhan Durrani | |||
| TY | Sakshi Nagesh Bhumkar | |||
| 16 | Sports Representative | TY | Gayatri Anil Ganeri | Uzair Attar |
| TY | Shruti waghmare | Avinash Chavan | ||
| 17 | Class Representative | SY | Aditya Shirsatrao | - |
| TY | Renuka Sarvade | - | ||
| B.Tech | Nupur Nitin Deshpande | - |
| Post | AY 2022-23 | AY 2023-24 |
|---|---|---|
| President | Soujanya Deepak Donta | Anurag Vivek Deshmukhe |
| Vice-President | Anurag Vivek Deshmukhe | 1.Vaishnavi Ramchandra Mashale 2.Gayatri Nitin Vidhate |
| Secretary | Shashank Arvind Adam | Aafra Nazir Husen Naikwadi |
| Jt. Secretary | Shifa Raqueeb Khan | Nandkishor Ambadas Yele |
| Treasurer | Vallamdeshi Shriraj Vasudev | Shriraj Vasudev Vallamdeshi |
| Event Administrator | 1.Sudhanshu Shrinivas Kota 2.Gayatri Nitin Vidhate | 1.Sakshi Nagesh Bhumkar 2.Vaishnavi Rupesh Kshirsagar 3.Kartik Dattatray Aursang |
| Event Coordinator | 1.Shrushti Prabhakar Katwe 2.Shrawani Sidharam Tukashetti | 1.Asad Sajid Dongari 2.Shrawani Siddharam Tukashetti 3.Abhishek Satish Bagal |
| Cultural Coordinator | - | 1.Srushti Prabhakar Katwe 2.Priyanka Dhondappa Rathod |
| Technical Coordinator | 1.Uzair Salim Attar 2.Karthikaya Santosh Pawar | 1.Kartikesh Dattatraya Belamkar 2.Uzair Salim Attar |
| Anchoring Coordinator | - | 1.Shravani Ravikumar Pasnur 2.Shubham Shrinivas Vidap |
| T&P Coordinator | - | 1.Prachita Ambalal Bhimanpalli 2.Prerana Amar Chavan |
| Ladies Representative | - | Rohini Koli |
| Special Club Liaison Member | - | 1.Sohan Katageri 2.Shrusthi Swaminath Swami |
| Discipline Committee Members | - | 1.Swayam Mulmane 2.Sudhanshu Shrinivas Kota |
| Member | 1.Ganesh Satej Paithankar 2.Shubham Shrinivas Vidap 3.Aishwarya Laxman Tekale 4.Rohini Suresh Koli | 1.Onkar Siddheshwar Jamma 2.Vitthal Shriniwas Gajjal |
| Advisory Member | - | Soujanya Deepak Donta |
| Class Representative | Nupur Nitin Deshpande | 1.Renuka Sarvade 2.Nupur Nitin Deshpande |
Student Association Activities
| Sr. No | A.Y. | Semester | Activates | Date |
|---|---|---|---|---|
| 01 | 2022-23 | Semester-I | Logo Contest | 07/10/2022 |
| 02 | 2022-23 | Semester-I | Inauguration of AIASA | 10/12/2022 |
| 03 | 2022-23 | Semester-I | Vachan Prerna Divas | 15/10/2022 |
| 04 | 2022-23 | Semester-I | National Unity Day | 31/10/2022 |
| 05 | 2022-23 | Semester-I | Fresher’s Party | 25/11/2022 |
| 06 | 2022-23 | Semester-I | Roadmap for Programing Skill Enhancement & Hackathon | 31/12/2022 |
| 07 | 2022-23 | Semester-I | National Constitution Day | 26/11/2022 |
| 08 | 2022-23 | Semester-II | Visit to Shantai Orphanage | 15/04/2023 |
| 09 | 2023-24 | Semester-I | Teacher day Program | 05/09/2023 |
| 10 | 2023-24 | Semester-I | Technical Competition “Techno wiz” | 16/09/2023 |
| 11 | 2023-24 | Semester-I | National Unity Day | 31/10/2023 |
| 12 | 2023-24 | Semester-I | Visit to Aai Orphanage (Social Activity) | 12/11/2023 |
| 13 | 2023-24 | Semester-II | National Science Day | 28/02/2024 |
| 14 | 2023-24 | Semester-II | First Spark 2024 (Fresher’s Party) | 01/03/2024 |
| 15 | 2024-25 | Semester-I | Teachers Day Program | 05/09/2024 |
| 16 | 2024-25 | Semester-I | Inauguration of AIASA | 14/04/2024 |
| 17 | 2024-25 | Semester-I | Engineer's Day Program | 14/04/2024 |
| 18 | 2024-25 | Semester-I | Diwali Celebration | 25/10/2024 |
Patent and Publications
Dr. M. B. Patil
Head of Department
- 8983683360
- mithunpatil@orchidengg.ac.in
- hod_ai_ds@orchidengg.ac.in
- Second Floor C Building