Visit to Logipool Infotech Pvt. Ltd.
The primary objective of the industrial visit to Logipool Infotech Pvt. Ltd. was to bridge the gap between theoretical knowledge and its practical implementation. The visit aimed to provide students with exposure to contemporary technological advancements, industrial workflows, and real-world applications in the domains of Computer Engineering and Artificial Intelligence & Machine Learning (AI & ML).
Orientation Session:
- Presentation on the company’s journey, recent projects, and technological achievements.
- Insights into the impact of AI & ML in the industry and its integration into software development.
Tour of Facilities:
- Students were guided through various departments, including Software Development, Machine Learning Labs, and Data Processing Units.
- Demonstrations of live projects involving AI models and their deployment in real-world scenarios.
Interaction with Experts:
- Interactive Q&A session with company experts, allowing students to clarify their queries about career opportunities, industry demands, and upcoming trends in technology.
- Discussions on the importance of data analytics, machine learning pipelines, and emerging tools in AI.
Hands-on Exposure:
- Demonstration of AI-driven applications and their deployment.
- Overview of the software development lifecycle, emphasizing the role of collaborative tools and agile methodologies.
Learning Outcomes
- Practical Exposure: Students gained first-hand experience with the operational aspects of a leading technology company.
- Industry Insights: Enhanced understanding of the latest trends in AI & ML and their applications in diverse industries.
- Skill Development: A clearer vision of the skills and competencies required to thrive in technology-oriented careers.
- Networking:Opportunities to connect with professionals and understand career paths in technology and AI-driven fields.
Visit to Technogrowth Pvt. Ltd.
The primary objective of the industrial visit to Technogrowth Pvt. Ltd. was to bridge the gap between theoretical knowledge and its practical implementation. The visit aimed to provide students with exposure to contemporary technological advancements, industrial workflows, and real-world applications in the domains of Computer Engineering and Artificial Intelligence & Machine Learning (AI & ML).
Orientation Session:
- Presentation on the company’s journey, recent projects, and technological achievements.
- Insights into the impact of AI & ML in the industry and its integration into software development.
Tour of Facilities:
- Students were guided through various departments, including Software Development, Machine Learning Labs, and Data Processing Units.
- Demonstrations of live projects involving AI models and their deployment in real-world scenarios.
Interaction with Experts:
- Interactive Q&A session with company experts, allowing students to clarify their queries about career opportunities, industry demands, and upcoming trends in technology.
- Discussions on the importance of data analytics, machine learning pipelines, and emerging tools in AI.
Hands-on Exposure:
- Demonstration of AI-driven applications and their deployment.
- Overview of the software development lifecycle, emphasizing the role of collaborative tools and agile methodologies.
Learning Outcomes
- Practical Exposure:Students gained first-hand experience with the operational aspects of a leading technology company.
- Industry Insights:Enhanced understanding of the latest trends in AI & ML and their applications in diverse industries.
- Skill Development:A clearer vision of the skills and competencies required to thrive in technology-oriented careers.
- Networking:Opportunities to connect with professionals and understand career paths in technology and AI-driven fields.
Computer Engineering Department of Navsahyadri Group of Institutions Faculty of Engineering are pleased to inform you that we have successfully conducted Industrial Visit at Wisdom Sprouts, Hinjewadi on 23th and 24th August 2023.The students of BE were accompanied by Prof. B.M. Borhade, Prof. Shivaji Thengil and Prof. Sayali Jadhav.