Team KillerKode from MIT College of Engineering, MIT World Peace University Campus Pune, comprising of Kunal Khadilkar, Akanksha Kale and Rahul Barhate were felicitated by Prime Minister Mr. Narendra Modi and Singapore Education Minister Mr. Ong Ye Kung for securing the 3rd prize and a cash reward of $4000 at the event.

The motivation and support by Prof. Dr. Vishwanath D. Karad, Founder President MIT World Peace University, Dr. Mangesh Karad, Executive President MIT ADT University, Prof. Rahul Karad, Executive President MIT World Peace University and the Director, Principal as well as the faculty team of MITCOE along with the industry mentors Mr. Vivek Kulkarni, Mr. Amol Dhondse and Mr. Mangal Sain made it possible for the team to work hard and achieve laurels for the country.

To empower the young innovators to come up with digital solutions to some of the common problems faced by India and Singapore, Hon’ble Prime Minister Narendra Modi proposed an idea of the 1st ever collaborative hackathon when he visited Singapore in June 2018. Capitalizing on this opportunity, the Singapore Government decided to host the hackathon at Nanyang Technological University and the event was planned from 12th to 14th November 2018. To shortlist the teams to participate in Singapore-India hackathon, winning teams of Smart India Hackathon 2018 and teams from IITs and NITs were in the selection pool. More than 70 teams underwent the rigorous selection process involving aptitude test and interview rounds.

The Indian team comprising of Kunal Khadilkar, Akanksha Kale and Rahul Barhate was one of the 20 teams shortlisted, based on the selection process, by the Prime Ministers’ Office to represent the country at Singapore-India Hackathon 2018 and similarly, 20 teams were shortlisted by Singapore Government to represent their country. A total of 8 problem statements on Smart Campus were allocated to the 40 competing teams (20 teams from each country). Over the course of 36 Hours, team KillerKode successfully prototyped an end-to-end innovative and low-cost product leveraging the techniques of Geotagging, Sound QR, Computer Vision and Machine Learning for the problem statement ‘Parking Space Availability and Monitoring in University Campuses’. Based on the creativity and innovativeness as well as their ability to pitch the business model, the team bagged the Third Prize.

Team KillerKode from MIT College of Engineering, Pune receiving the Prize L-R: Prof. Anil Sahasrabudhe Chairman-AICTE, Prof Subra Suresh President NTU, Kunal Khadilkar (Student), Akanksha Kale (Student), Prime Minister Sri. Narendra Modi, Singapore’s Education Minister Ong Ye Kung, Rahul Barhate (Student), Vivek Kulkarni (Mentor) and Jawed Ashraf, High Commissioner of India to Singapore.

Kunal Khadilkar, said “A very high number of universities all across the world use the playground as a parking lot. Using sensors or cameras in such unstructured grounds is not feasible due to high cost and environmental hazards. Sometimes, it takes more than 30 mins just to exit the parking area if the vehicles are parked haphazardly. Currently, a lot of human effort is needed to make sure people park their car in the correct orientation, especially in large grounds. We focused on this problem and came up with novel automated solution using Geotagging and Sound QR to convert unstructured parking ground into a structured parking zone.”

Rahul Barhate, said “We have used a novel technique of Sound QR. Using this technique, our software directly detects the arrival of cars in the parking zone without having to wait at any booth/ticket counter. The technology which we have used is a free of cost technology, as it doesn’t require any internet, calls or SMS for its use. We have integrated this functionality even for covered parking areas, by developing software for detecting empty slots and number plates using CCTV footage and low-cost cameras.” Akanksha Kale said “To add incentives for using our app, we have introduced a reward system. If the user accesses our app daily, there is a high chance that he/she will get a nearer parking spot. At the same time, the app charges a penalty to those users who park their cars haphazardly. The app has been created in such a way that it can dynamically adjust to new parking spots, thus making it easier to deploy even on crowded roads all across the world. Furthermore, we have also proposed a bidding system for users to book a particular car slot well in advance, thus saving their time to find a proper parking area.” The team has further planned to release their product to Universities and Organizations.


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