Data ScienceArtificial IntelligenceWeb Development
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
178
Participants
₹10,000
Prize Pool
16
Est. Projects
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: Smart Traffic Management using AI Air Quality Prediction and Monitoring Smart Waste Management Systems Disaster Prediction and Alert Systems 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
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.