PRO Jarvis: How an AI Influencer Became a Digital Public Relations Officer in Uttar Pradesh

 Posted by Prof. Kapil Gautam, Department of Information Technology.

05 March 2026

As someone who has been teaching Information Technology for nearly twenty years, I always look forward to seeing theory turn into real-world practice. Just a couple of days back I wrote about Agentic AI and how systems are moving from simply answering questions to actually getting things done. While fully autonomous agentic systems are still evolving, we are already seeing some very creative and practical uses of generative AI in public service here in India.

One such example that genuinely caught my attention is PRO Jarvis — an AI influencer that has been officially given the rank of Sub-Inspector in the Uttar Pradesh Police. Yes, you read that right. An AI has been appointed as a digital public relations officer (PRO).

PRO Jarvis is being used as a smart, always-available spokesperson. It creates engaging social media content, responds to public queries, explains police initiatives in simple language, and helps counter misinformation in real time. In the Bareilly zone, where ADG Ramit Sharma has created it, Jarvis is already handling public communication tasks that would otherwise require significant human effort round the clock.

What I find particularly interesting is how practical and human this application feels. Instead of using AI just for surveillance or data crunching, the police have turned it into a friendly, approachable face for the department. It is an AI influencer that gives updates, clarifies rumours, and even engages with citizens in a conversational tone — something that builds trust much faster than traditional methods.

From a teaching perspective, this is wonderful material for my classroom. We often discuss how generative AI can be used responsibly. PRO Jarvis shows a balanced and constructive application: it is not replacing human officers but supporting them by handling routine communication especially awareness programs to increase the reach. It has a human in the loop mechanism to avoid any mis-communication. It also raises good questions for students — how do you make sure an AI’s responses remain accurate and unbiased? What kind of safeguards and human oversight are needed? These are exactly the kinds of real-world design challenges our future engineers will face.

For my engineering students who read this blog, here’s the simple message I keep repeating: the real value of AI lies not just in building powerful models, but in applying them thoughtfully to solve everyday problems. Whether you are interested in natural language processing, content generation, or human-AI interaction, projects like PRO Jarvis show that there is huge scope for creative and meaningful work in governance and public service.

This kind of innovation makes me optimistic. It proves that technology developed in our labs and classrooms can quietly improve how government institutions connect with citizens.

I’ll continue sharing more such stories of how emerging technologies are being used in practical and responsible ways. In the coming weeks, I plan to talk about another important area — the growing role of ethical and responsible AI frameworks.

Until then, if you are a student working on any generative AI project or have thoughts about using AI in public services, feel free to share them in the comments below. I always enjoy reading your experiences.

Prof. Kapil Gautam Delhi-based IT professor & occasional blogger

(All views are entirely my own)

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