Organizer: IT DEPARTMENT
Event Date: 2025-02-03
Type: Academic & Technical Events
Description:
Organized by: Department of Information Technology, L.E. College, Morbi
In Collaboration With: Edunet Foundation
Workshop Duration: February 3rd to February 7th, 2025
Workshop Venue: IT Department, L.E. College, Morbi
1. Introduction
The Department of Information Technology at L.E. College, Morbi, successfully organized an Institute Level one-week workshop on AI and Green Technologies from 3rd February to 7th
February 2025. This workshop was conducted in collaboration with Edunet Foundation as part of the Skills4Future program, aimed at equipping students with knowledge and hands-
on skills in Artificial Intelligence (AI) and Green Technologies.
The program was initiated under the Gujarat Knowledge Society’s initiative (Reference: GKS/IMPACT/Edunet Foundation/272, Dated 10.12.2024), emphasizing the importance of AI-driven sustainable practices.
2. Objectives of the Workshop
• To introduce students to fundamental AI concepts and sustainable green technologies.
• To provide hands-on training on Python programming, machine learning, data visualization, and computer vision.
• To explore AI applications in sustainable urban planning, smart grids, renewable energy, and waste management.
• To integrate green skilling concepts with AI-based innovations.
• To train students in ethical AI principles ensuring sustainability in AI applications.
• To prepare students for future careers in AI-driven green technology industries.
3. Participants
The workshop was attended by 62 registered students from various branches, including:
• Information Technology
• Electrical Engineering
• Mechanical Engineering
Upon successful completion, participants were awarded certificates of participation.
4. Course Content Overview
The workshop was structured as a 50-hour intensive training module, covering both theoretical concepts and hands-on practicals. The core areas included:
Day 1: Introduction to AI and Green Skills
• Basics of Artificial Intelligence and its impact on sustainability.
• Overview of Green Technologies and their role in environmental conservation.
Day 2: Python for AI and Sustainability
• Python programming fundamentals.
• Data handling using Pandas and NumPy.
• Implementing AI-driven energy efficiency models.
Day 3: Machine Learning for Green Innovation
• Supervised and Unsupervised learning models.
• AI-powered smart grid and energy distribution optimization.
• Carbon footprint estimation using machine learning.
Day 4: Computer Vision for Environmental Monitoring
• Introduction to OpenCV for AI applications.
• Object detection for waste management.
• AI-based forest fire detection using satellite imagery.
Day 5: Generative AI & Ethical AI Practices
• Implementing Generative AI for climate modeling.
• AI fairness, sustainability, and responsible AI deployment.
• Capstone project presentations.
5. Expert Trainers
The workshop featured training sessions led by experienced experts:
• Mr. Hiren Modha – Conducted training sessions from February 3rd to February 5th, 2025.
• Mr. Utkarsh Sharma – Conducted training sessions from February 6th to February 7th, 2025.
6. Faculty Coordinators
The workshop was coordinated by esteemed faculty members:
• Prof. Rahul R. Keshwala - Program Coordinator
• Prof. Tejas M. Vasavada - Co-Coordinator
• Prof. Rakesh A. Parmar - Co-Coordinator
• Prof. Anita A. Parmar - Co-Coordinator
• Prof. Hitesh T. Loriya - Co-Coordinator
7. Impact and Outcomes
The AI and Green Tech workshop provided students with invaluable exposure to cutting-edge AI tools and sustainability-driven applications. Key takeaways included:
• Enhanced understanding of AI’s role in environmental sustainability.
• Practical implementation of AI-driven smart city solutions.
• Hands-on experience in building AI models for energy optimization.
• Development of critical problem-solving skills in AI and sustainability.
8. Conclusion and Future Scope
The successful completion of the workshop marks an important step towards integrating AI and Green Tech education into mainstream engineering curricula. Based on the overwhelming response from students, the department aims to:
• Conduct advanced AI sustainability training modules.
• Encourage collaborative projects with industry partners.
• Establish a research hub for AI-driven environmental innovation.
