AI Powered Solution Expo: Demo Days for AI/Industry 4.0 Prototypes

Date: 19-02-2026

Event Venue/Time: Sant Baba Bhag Singh University, Jalandhar (PB)

Organizing Unit/Agency: Department of Computer Science & Applications (CSA) (Under the Aegis of IIC)

Number of students participated: 85

Faculty members:Dr. Saurabh Sharma (Associate Professor) ,Mr. Yadwinder Kumar (Asst. Professor) ,Mr. Gurwinder Singh (Asst. Professor) ,Ms. Baljinder Kaur (Asst. Professor)

Activity Report

The AI Powered Solution Expo: Demo Days for AI/Industry 4.0 Prototypes was organized by the Department of Computer Science & Applications under the aegis of the Institution’s Innovation Council (IIC). This flagship event served as a dynamic platform for budding innovators, researchers, and students to showcase functional prototypes designed to bridge the gap between academic theory and industrial application.

The primary objective of the Expo was to foster an entrepreneurial mindset by encouraging participants to develop solutions aligned with Industry 4.0—the current trend of automation and data exchange in manufacturing technologies. The event highlighted how Artificial Intelligence, Machine Learning, and IoT (Internet of Things) can be integrated to solve real-world challenges, ranging from predictive maintenance in factories to smart healthcare diagnostics.

By bringing together creative minds at Block-7, the expo facilitated a peer-to-peer learning environment and allowed students to receive critical feedback from industry experts and faculty members. The demo days underscored the university's commitment to nurturing an ecosystem of innovation, preparing students to lead in a tech-driven global economy. The duration of the activity was 5-7 hours.

Objectives of the Event:

The AI Powered Solution Expo was designed with a clear focus on bridging the gap between classroom concepts and industrial reality. The core objectives included:

Promoting Innovation and Entrepreneurship: To inspire students to think beyond the curriculum and develop scalable, AI-driven business solutions that align with the Startup India and IIC mandates.
Demonstrating Industry 4.0 Readiness: To showcase the practical application of fourth- generation industrial technologies—such as autonomous systems, Big Data analytics, and smart manufacturing—in solving modern efficiency problems.
Validation of Technical Prototypes: To provide a platform where students could test the viability of their Minimum Viable Products (MVPs) and receive real-time technical validation from a panel of experts.
Enhancing Technical Proficiency: To encourage hands-on experience with emerging tools, including deep learning frameworks, IoT sensors, and cloud-based AI deployment.
Fostering Interdisciplinary Collaboration: To bring together various specializations within the Department of Computer Science & Applications to work on multifaceted problems that require integrated hardware and software solutions.
Bridging the Academia-Industry Gap: To familiarize participants with the standards and requirements of the current tech industry, ensuring that their developed prototypes are not just theoretical but have potential market utility.

Detailed Report of Event:

The event was conducted under the expert guidance and supervision of the faculty from the Department of Computer Science & Applications.

Event Execution & Highlights:

The Demo Day was structured into three distinct phases to ensure a comprehensive evaluation of the AI and Industry 4.0 prototypes:

Technical Pitching: Each team presented a 5-minute pitch explaining the problem statement, the AI algorithm used (such as CNNs for vision or RNNs for sequence data), and the industrial relevance.
Live Demonstration: Live working models to the faculty and visiting students at Block-7.
Interactive Q&A: The faculty members engaged with the participants, asking critical questions regarding data accuracy, power efficiency, and the scalability of their Industry 4.0 solutions.

AI Powered Prototypes demonstrated:

Predictive Maintenance of Machines
Smart Agriculture System (Sensor Based Irrigation)
AI Study Planner
Non-Invasive Diagnostic Vision
Federated Learning for Private Data

Event Outcomes:

Practical Validation: Students received expert feedback, helping them understand how to refine their code and hardware for actual industrial use.
Team Collaboration: The event boosted soft skills like teamwork, technical presentation, and problem-solving under pressure.
Innovation Culture: The expo strengthened the IIC ecosystem at the university, inspiring younger students to pursue research and development.