SmartAIthon 2026 – IEEE Smart Cities AI Hackathon

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The SmartAIthon - IEEE Smart Cities AI  Hackathon 2026 is a multi-stage innovation challenge designed to bring together students, developers, and innovators to solve real-world urban problems using Artificial Intelligence and emerging technologies.

Participants will identify pressing challenges in areas such as traffic management, pollution monitoring, waste management, and urban safety, and build scalable AI-driven solutions.

The hackathon focuses on creativity, technical implementation, and real-world impact, encouraging participants to move from idea to working prototype.

This is an opportunity to showcase your skills, gain recognition, and compete with some of the brightest minds.

Themes
Participants can choose one of the following themes or propose their own innovative idea:

  1. Smart Traffic Management using AI
  2. Air Quality Prediction and Monitoring
  3. Smart Waste Management Systems
  4. Disaster Prediction and Alert Systems
  5. Open Innovation (Any AI-based solution for urban challenges)

SmartAIthon Round -1 PPT Template
https://shorturl.at/RQlnX

SmartAIthon Round -1 PPT Submission link
https://bit.lt/smartaithon-1

Eligibility & Team Rules
- Open to all undergraduate and postgraduate students
- Team size: 1 to 4 members
- Cross-college teams are allowed
- A participant cannot be part of multiple teams

Judging Criteria
Innovation - 25%
Technical Implementation - 25%
Impact - 20%
Feasibility - 15%
Presentation - 15%

Rules & Regulations
- Plagiarism will lead to immediate disqualification
- Teams must submit original work
- Late submissions will not be accepted
- Judges' decision will be final
- Teams must adhere to deadlines strictly



  Date and Time

  Location

  Hosts

  Registration



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  • Contact Event Hosts
  • Event Coordinator:
    Saravanavel E
    IEEE Smart Cities Ambassador 2026
    IEEE CIS Chair
    IEEE KCE Student Branch

    Email: saravanavel.e@ieee.org

    Event:
    SmartAIthon 2026 – IEEE Smart Cities AI Hackathon

  • Co-sponsored by IEEE Smart Cities Initiative
  • Starts 24 June 2026 06:30 PM UTC
  • Ends 20 July 2026 06:29 PM UTC
  • No Admission Charge


  Speakers

Abhijit Kale of Lucid Motors

Topic:

Building Scalable AI & Smart City Solutions using Cloud Infrastructure

We conducting an online mentoring session/workshop for shortlisted teams, where participants can gain insights into scalable system design, cloud-native architectures, infrastructure considerations, and real-world deployment strategies for AI and Smart City solutions for the shortlisted teams.

Biography:

Abhijit Kale is an experienced cloud infrastructure professional specializing in distributed systems, Kubernetes, cloud-native architectures, IoT platforms, and large-scale data processing systems. He has extensive experience designing scalable and resilient cloud solutions across modern enterprise environments.

Email:

Address:Lucid Motors, , San Francisco, California, United States