About the challenge

The AI Autonomous Smart City Hackathon 2026 invites students worldwide to build intelligent systems that transform urban living.

Participants will design AI-powered solutions that enable cities to think, adapt, and operate autonomously in real time. From smart traffic systems to sustainable energy optimization, this hackathon focuses on solving real-world urban challenges using cutting-edge technologies.

This is your opportunity to innovate at the intersection of Artificial Intelligence, IoT, and Smart Infrastructure.

Get started

1. Choose a real-world smart city problem
2. Build an AI-powered solution
3. Submit your project with demo and code

Focus on:
- Practical impact
- Innovation
- Scalability

Communication & Updates

Participants may join the official WhatsApp group for updates, support, and announcements.

👉 https://chat.whatsapp.com/IDEMFuT1Y8x7LPt3zyQsaI

All important updates will also be shared on Devpost.

Requirements

What to Build

Participants should develop a working prototype in one of the following areas:

  • Smart Traffic & Mobility Systems
  • Environmental Monitoring (Air/Water)
  • Smart Energy Management
  • Urban Healthcare AI Solutions
  • Public Safety & Surveillance

What to Submit

Each team must submit:

  • Project title and description
  • GitHub repository link
  • Demo video (2–5 minutes)
  • Screenshots or UI preview
  • Explanation of AI model used

Hackathon Sponsors

Prizes

3 non-cash prizes
1st Prize - Grand Winner
1 winner

1-Year Free .site Domain
Official Winner Certificate

2nd Prize - Runner Up
1 winner

1-Year Free .site Domain
Runner-Up Certificate

3rd Prize — Second Runner Up
1 winner

1-Year Free .site Domain
Certificate of Achievement

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Praveen Coppa

Praveen Coppa
Workspace AI Platform Engineer at Google

Mihir Shelar

Mihir Shelar
Senior Technical Program Manager @ Amazon | IEEE Senior Member

Somnath Banerjee

Somnath Banerjee
Lead Data Engineer @ Elevance Health | Enterprise AI & Scalable Systems

Hareesha Rameshappa

Hareesha Rameshappa
Sr. Technical Product Manager — AI & ADAS Systems Phantom AI

Shri Lakshmi Rajagopal

Shri Lakshmi Rajagopal
Senior QA Automation Engineer @ Deloitte

Prakshal Doshi

Prakshal Doshi
Software Engineer @ Apple | AI Infrastructure | MLOps

Xingpeng Xiao

Xingpeng Xiao
Software Engineering Manager at Disney

Praneetha Kotla

Praneetha Kotla
AI Solutions Architect | Global Hackathon Judge | IEEE Senior Member

Shyam Goyal

Shyam Goyal
Senior Data Analyst @ Samsung | Data Science & ML Specialist

Karthik Karunanithi

Karthik Karunanithi
Solution Architect at IBM

Preethi Bharathy

Preethi Bharathy
Data Scientist | AI & Scalable Systems

Suraj Devatha

Suraj Devatha
Senior Software Engineer Distributed Systems | AI-driven Platforms

Silu Panda
Senior Software Engineer — ML Infrastructure | LinkedIn

Manisha Konda

Manisha Konda
Senior Data Analyst at Walgreens

Elumalai S

Elumalai S
Software Engineer III — Java Development

Senthil Kumar R

Senthil Kumar R
AI Researcher | Intelligent Systems & Data Science

Ramamoorthy S

Ramamoorthy S
AI Engineer | GenAI LLM Specialist

Sunil Subash

Sunil Subash
Data Scientist | AI & Analytics

Judging Criteria

  • Innovation — 25%
    Originality and creativity of the idea. Novel approaches to solving smart city problems.
  • Technical Implementation — 25%
    Quality of code, use of AI/ML technologies, system architecture, and overall technical complexity.
  • Impact — 20%
    Real-world usefulness, relevance to smart city challenges, and potential societal impact.
  • Feasibility — 15%
    Scalability, practicality, and ability to deploy the solution in real-world environments.
  • Presentation — 15%
    Clarity of demo, UI/UX quality, and effectiveness of communication.

Questions? Email the hackathon manager

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