VISTA OF TOMORROW: AI & DATA SCIENCE AWARENESS SESSION
The Department of Data Science successfully organized an AI & Data Science Awareness Session on 8th December 2025 as part of its Institutional Social Responsibility (ISR) initiative titled “Vista of Tomorrow: Educate • Illustrate • Elevate.” Conducted at Chennai Corporation Higher Secondary School, Shenoy Nagar, this awareness program aimed to inspire 8th and 9th standard students by introducing them to Artificial Intelligence and Data Science, their real-world applications, career pathways, and future opportunities. The session featured interactive components including live demonstrations of AI concepts by senior undergraduate students, a creative poster-making activity focusing on AI in everyday life and future societal impact, and expert guidance on academic and skill development trajectories. Through hands-on demonstrations and interactive engagement, the program successfully nurtured curiosity among young learners and provided early exposure to transformative technologies, exemplifying the department’s commitment to community outreach and holistic educational impact beyond campus boundaries.
KEY HIGHLIGHTS
- Real-World Applications Focus: Session highlighted practical applications of AI and Data Science in everyday life, industry domains, and societal challenges, making complex concepts relatable to secondary school students.
- Interactive Live Demonstrations: Senior students from the II and III year Data Science and AI programs conducted engaging live demonstrations, translating theoretical concepts into practical, observable examples.
- Creative Poster-Making Activity: Students participated in a thematic poster competition covering "AI in Everyday Life," "Future of AI," and "Data Science for a Better World," encouraging innovation and conceptual understanding.
- Academic Pathway Guidance: Comprehensive discussion on educational qualifications, skill development requirements, and career prospects in AI-driven domains, equipping students with informed decision-making tools.
- Incentive-Based Participation: Recognition through prizes (scientific calculator, geometry kit, notebooks, and Rubik's cube) and participation certificates motivated active engagement and creative expression.
- Student-Led Initiative: Exemplified peer-to-peer learning through volunteer involvement of 12 undergraduate students from II and III year batches, demonstrating department commitment to mentorship and community building
PROGRAM OBJECTIVES ACHIEVED
- Created awareness about emerging technologies and their societal relevance
- Inspired early-career interest in Data Science and AI among secondary school students
- Demonstrated practical applicability of academic concepts through live demonstrations
- Fostered collaboration between higher and secondary education institutions
- Provided platform for undergraduate students to develop mentoring and communication skills
- Fulfilled institutional social responsibility commitment through community engagement
IMPACT AND OUTCOMES
The event successfully reached a substantial number of secondary school students, providing them with informed perspectives on AI and Data Science career trajectories. The combination of theoretical insights, live demonstrations, and creative engagement ensured that participants gained multifaceted understanding of technology’s transformative potential. The program strengthened institutional-community bonds and reinforced the Department of Data Science’s commitment to developing scientifically informed citizenry through outreach initiatives. Positive feedback from the school administration and enthusiastic participation from students validated the effectiveness of the awareness-raising approach.
