I still remember a conversation I had with a curious young student during one of the exit meetings. The student asked me, “Sir, will we use AI only in engineering, or will we use it in real life too?” His question stayed with me—because in his simplicity was a deep insight. And today, I’m proud to say that AI at REVA is not limited to a department, a classroom, or a research lab—it’s in our institutional DNA. We adopted the AI-first approach in June 2024, even before AICTE announced the “Year of AI.” Our mission is clear: to prepare our students not just for today’s jobs but for tomorrow’s disruptions.
We reimagined education from the ground up. AI is no longer confined to engineering alone. Whether you are a student of law, design, agriculture, business, or science—you interact with domain-specific AI tools from day one. We introduced coding and AI fundamentals as early as the first semester. Not just theory, but practice—hands-on projects like Eco-SoilAI, a predictive soil health analysis platform developed by our Agricultural Engineering students, is enabling real farmers to decide which crops to sow, and when. One of our most heartening projects has been My-Medics—a voice-activated emergency response tool built by first-year students that identifies the nearest hospitals, stores medical records, and even suggests AI-powered home remedies.
We also offer B. Tech. programmes in AI, IoT, and Robotics, staying ahead of the trend. Our AI Verse Student Chapter has become a vibrant ecosystem for hackathons, research, peer-led learning, and even fun AI-powered stalls during campus events and parent visits. And for our fastest learners, we’ve introduced Superset Courses—offering the option to accelerate into advanced year content from the very first year.
Of course, such a transformation required a shift in mindset. We formed a dedicated AI-First Team to train and support faculty, ensuring that they weren’t just teaching AI—they were using it to teach better. Tools for AI-led evaluations, research collaboration, and even personalised student mentoring are now built right into our academic DNA. Our faculty members are co-learners in this journey, evolving with the very tools they introduce in class.
Our infrastructure is evolving too. From smart classrooms to AI-integrated assessments, REVA’s ecosystem is becoming more predictive, personalised, and future-ready. We’ve even created in-house AI tools for academic planning and examination management, reducing workload and improving accuracy.
The vision that drives me is this: By the time a student walks across the convocation stage, they should not just be job-ready. They should be life-ready—ethical, empowered, and AI-literate.
India is on the brink of an AI revolution. At REVA, we’re not waiting to catch up—we’re setting the pace. Because the future will not be built by those who fear change, but by those who embrace it with clarity, compassion, and courage.
And to that young student who asked me the question—thank you. You didn’t just ask about AI. You sparked a movement.
