Youngest National Finalists at the IBM-RTBI Hackathon at IIT Madras

Fenil Patel, Prastut Kumar

Prastut Kumar
- Finalist, World UX Championship

SHARAD AGARWAL
- Founder of the OWASP VIT Student Chapter. 4th OWASP Student Chapter in India
- Got the Red Hat Certification – Red Hat Certified System Administrator.
- Founded and developed an app called DERT(Doctors Emergency Rescue Task)
NITU SHARAFF
- Microsoft Campus Connect 2015 (Team of 4), 1st prize for Website development
- Loki Toki Hackathon event organized by Microsoft Innovation Center (Team of 3), 3rd place for Windows App in 24 hours, Windows app for blind and deaf to learn using the phone by vibrations and GIFs.
AMAN HUSSAIN
- Awarded Elite Certification in Artificial Intelligence course from IIT Madras
- Co-Founder of BornFree Labs (Independent Game Development Studio)
- Developed Unity Plugins and Tools for Unity Asset Store
- Organized and Instructed a Game Dev Workshop on TechnoVit
SUBHOJEET PRAMANIK
- Ranked 6th internationally in Russian Text Normalization Challenge by Google (http://www.kaggle.com/c/text-normalization-challenge-russian-language)
Contribution: Developed a new deep learning model that helped us achieve 99.2% accuracy.

- Awarded Elite Certification in Artificial Intelligence course from IIT Madras
- Organized and Instructed a Game Dev Workshop on TechnoVit
- Co-Founder of BornFree Labs (Independent Game Development Studio)
- Developed Unity Plugins and Tools for Unity Asset Store
- Mr Subhojeet Pramanik had participated in the Tensor flow Speech Recognition Challenge conducted by Google Brain (httpd://owowow.kaggle.com/c/tensorflow-speech-recognition-challenge) on 17 January, 2018. His endeavours in Google’s challenging initiative won him the highest percentage (top 5%) on the final leaderboard succeeding in a 90% accuracy ratio.
- The primary challenge of the contest is to use Speech Commands Dataset in comprehending spoken commands out of which an ensemble of 13 unique deep learning models had been deduced by him offering a credible outcome (httpd://github.com/subho406/TF-Speech-Recognition-Challenge-Solution).