SPARKZ IDEATHON
SPARKZ IDEATHON organized by
Department of Data Science
Date: 25/08/2025 & 26/08/2025
Rank 1 (Shared) CIRA – Contextual Iterative Refinement Agent
Members :Kavya Mehram, Roshan Patel, Om Mude, Faaiz Khan Fund
Her Future: Explore, Apply and Empower
Members: Bhagyashri Ahire, Ayush Deshmukh, Karan Bainade,
Tanaya Arvikar
Rank 2 Empath.AI – Enhancing Employability with ML-Driven
Emotional Analytics
Members :Tejas Kanade, Sujay Karad, Om Karanje, Vishal Khade
Rank 3: AI Powered Social Media SaaS Model
Members: Ashish Kumar Panda, Parth Barde, Rudra Ingole,
Akshat Jain
AGRI-AI HACKATHON
AGRI AI HACKATHON
Organized By
Department of Data Science
In association with Agarkar Research Institute Sponsored by
Electrovent
Date:17/09/2025,18/09/2025 & 19/09/2025
Rank 1: Team Saga AI – Seed Damage detection
Members: Shravani Varale, Gauri Waghmare, Sakshi Wable, Aniket
Waghode
Rank 2: Team Byte 4 – Evolutionizing Agricultural Advisory Services Members:
Niraj Gahukar, Apurva Dabhade, Shrinivas Tawde, Swayam Gurnule
Rank 3: Team Error 404 – Evolutionizing Agricultural Advisory Services
Members: Akash Tayde, Ashish Shirsath, Dinesh Pawar, Shivraj Darekar
Team Warriors – High-Throughput Seed Damage and Pest Infestation
Analysis
Members: Bhagyashri Ahire, Aryan Gupta, Ketki Bhagat
Innovation and Competency Development
The CSE(DS) department actively promotes innovation-driven learning and competency development by integrating
academia–industry–research collaborations, experiential learning, and exposure to emerging technologies. A robust ecosystem has been
established to nurture problem-solving abilities, interdisciplinary thinking, entrepreneurial mindset, and industry readiness among students
and faculty members.
To achieve these objectives, the department has strategically entered five active MoUs with reputed international institutions, industry partners, and a premier national institute, ensuring continuous alignment with evolving technological trends and societal needs.
Strategic MoUs for Skill and Innovation Enhancement
International MoUs (2)
The department has signed two international MoUs, including collaboration with the School of Innovative Design and Management,
National Taipei University of Business, Taiwan and University of Malta. These MoUs focus on global knowledge exchange, joint academic
initiatives, research collaboration, and exposure to international best practices in innovation and design thinking. The collaborations
emphasize skill-based training, interdisciplinary research, internships, faculty exchange, and curriculum enrichment, thereby enhancing
students’ global competencies and cross-cultural exposure.
Industry MoUs (2)
To strengthen industry relevance and hands-on learning, the department has established MoUs with industry partners such as Electrovent
LLP and MAITYS Elder Care. These partnerships enable:
- Industry-aligned curriculum design and training inputs
- Internships, industrial training, and site visits
- Real-world problem statements and joint research projects
- Guest lectures by industry experts
- Faculty Development Programs (FDPs)
The industry collaborations focus on emerging domains such as Data Science, Artificial Intelligence, Machine Learning, Electric Vehicles,
Healthcare Technologies, and Sustainable Engineering, ensuring that students acquire job-ready skills and practical exposure required for professional career.
MoU with IIT Mandi
The MoU with IIT Mandi Catalyst plays a pivotal role in fostering high-end research, innovation, and entrepreneurship. This collaboration
supports:
- Innovation and startup incubation
- Joint research and development activities
- Faculty and student training programs
- Mentorship by IIT experts
- Access to national-level innovation and startup ecosystems
The partnership significantly strengthens the department’s focus on innovation-led learning, research excellence, and entrepreneurial competency development, aligning academic pursuits with national priorities such as Atmanirbhar Bharat and Startup India.
Research Grant, Consultancy
| Amount of Research Grant Received |
Rs. 59 Lakh (Sanctioned amount Ministry of Education, Saudi Arabia) Rs. 90,000 (Sanctioned amount IEEE WIE Athena Project-2) |
| Amount of Consultancy Received |
Majhi Vasundhara Scheme 2023-24: 15.5 L 2024-25: 13 L 2025-26: 12.18 L Crompton Greaves Pvt. Ltd 2025-26: 94 K |
Publications, Citations, Patents
| 2025-26 | |
|---|---|
| Total Publications | 44 |
| Total Citations | 379 |
| Patents Filed | 17 |
| Patents Published | 30 |
| Patents Granted | 07 |
| Live Projects | 14 |
| Internships | 30 |
| FDPs Attended by Faculties | 31 |
Department of CSE-Data Science, VIT, Pune.
International FDP on Convergence of AI and Data Science in Sustainable Development Goals (SDGs) from 16-12-2025 to 20-12–2025
Summary Report of All Sessions Conducted
Dr. Arun Jana (16/12/2025-10:30 AM to 12:00 PM)
Dr. Arun Jana delivered a session on “Quality Estimation of Argo Products by Electronic Means,” highlighting how
modern sensors, imaging systems, and electronic measurement techniques can accurately assess the freshness, texture, and
nutritional quality of agricultural products.
Dr. Soumya Mukherjee (16/12/2025-2:00 PM to 3:30 PM)
The session on “Impact of Artificial Intelligence in E-Commerce Platforms” highlighted how AI is transforming online
business through personalization, recommendation systems, chatbots, fraud detection, and predictive analytics. It
emphasized how AI enhances customer experience, improves operational efficiency, and supports data-driven decision-
making for better sales and service outcomes.
Dr. Biswarup Neogi (17/12/2025-10:30 AM to 12:00 PM)
The session on “Leveraging AI and Data Science for Early Autism Detection: A Pathway to Sustainable
Healthcare” highlighted how machine learning, behavioral analytics, and medical data can help identify early signs of
autism with greater accuracy and accessibility.
Dr. Moumita Pal (18/12/2025-10:30 AM to 12:00 PM)
The session on “Design and Simulation of Flexible Wearable Pressure Sensors using COMSOL” focused on how
COMSOL Multiphysics can be used to model, analyze, and optimize flexible pressure sensors for wearable health and
monitoring applications. It highlighted key aspects such as material selection, structural design, stress–strain behavior, and
performance simulation to improve sensor sensitivity, durability, and real-world usability.
Dr Ihtiram Raza Khan (18/12/2025-2:00 PM to 3:30 PM)
The session on “AI in the Design of Smart Cities and Viksit Bharat” highlighted how Artificial Intelligence can enable
smarter infrastructure planning, efficient resource management, intelligent transportation, and citizen-centric services.
Dr. Sathyaprakash Palaniyappan (19/12/2025-2:00 PM to 3:30 PM)
The session on “Quantum Computing for Sustainable Development Goals” explored how quantum technologies can
solve complex global challenges in areas such as climate modeling, clean energy optimization, healthcare, and smart
agriculture.
Dr. Shubham Joshi (19/12/2025-3.30 PM to 5.00 PM)
The session on “Opportunities with Sustainability in Industry 5.0” emphasized how the next wave of industrial
transformation blends human creativity with intelligent technologies to create resilient and sustainable systems. It
highlighted opportunities such as green manufacturing, circular economy practices, energy-efficient operations,
personalized production, and ethical, human-centric innovation that together drive long-term environmental and social
value.
Dr. Aruna Pavate (20/12/2025-10:30 AM to 12:00 PM)
The session on “AI-Driven Approaches for Accelerating Sustainable Development Goals (SDGs): Foundations and
Tools” highlighted how Artificial Intelligence can support evidence-based policy making, resource optimization, and
social impact initiatives across sectors such as healthcare, education, environment, and smart governance.
Dr. Mayank Kumar Jain (20/12/2025-2:00 PM to 3:30 PM)
The session on “AI-Driven Smart Mobility Solutions for Urban Transportation Systems” explored how Artificial
Intelligence can optimize traffic flow, public transport operations, and route planning through real-time data analytics and
predictive modeling.
Photographs
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