The scenario for the Hackathon involved an Indian Smart City’s Traffic Police Department which wishes to use Machine Learning/Artificial Intelligence techniques to solve their traffic crisis. The department has also collected traffic volume patterns and climate conditions observed for over four years. The given task for the Students participating in the Hackathon was to help the police predict traffic volume for given duration and climate conditions.
As many as 3,266 teams participated in the Phase 1 online hackathon with the top teams making predictions with an accuracy of up to 99.97 per cent using Regression models such as ‘XGBoost,’ supported by adept Feature Engineering techniques.
The Top 50 teams of Phase I came from Institutions across the country including IIT Bombay, IIT Delhi, IIT Kharagpur, IIT Roorkee and IIT Madras besides Indian Statistical Institute, National Institute of Technology – Jamshedpur, National Institute of Technology – Patna and Army Institute of Technology – Pune.
The Demographics of participants include 257 teams from Delhi NCR, 288 teams from Mumbai and Pune; 509 teams from Chennai and Hyderabad ; 437 teams from Bengaluru, 103 teams from Kolkata, 50 teams from Coimbatore and 1,622 from other parts of the country.
In Phase 2, IITMAA will conduct a Hackathon onsite at the IIT Madras campus on 24th and 25th August 2019. The Hackathon will provide the short-listed teams Time series data on air quality and pollution recorded by IoT (Internet of Things) devices from ‘Project Kaatru (Air)’, a research project of Prof. Raghunathan Rengaswamy, IIT Madras and supported by Robert Bosch Centre for Data Science and Artificial Intelligence, IIT Madras.