Life is a Hackathon. How to solve it?

Greetings Everyone!

Wishing you a Happy New Year! Is it too late to wish now? Maybe, but doing it seems better than skipping, just like my new year resolution. For the first 6 days of 2022, I literally had no resolution. Still, with Friday, I thought of starting this new activity of?Writing articles on LinkedIn?every week to bring out my own & my team's creativity in front of my professional circle. Initially, I thought I would do it every Saturday. Still, one of the crucial parts of my week, the header of this article, was yet to be ready/edited for the showcase. I could have also done it on Sunday, but like our?YouTube Channel , I felt the least amount of Views comes on a Holiday and most on a day around the Holiday. So here I am writing what we have done in the previous 10 days. Let's stop discussing the thought process and come to the real execution.

2022?started with a MATLAB Hackathon organized virtually by the Institute of Technology, Nirma University. As alumni of the college, I felt really great when?Prof. Dhaval Pujara ?and?Prof. Yogesh Trivedi ?contacted me and thought I could assist them in organizing the event. It seems unfair to believe that our first meeting happened on 20th Sept 2021, and it almost took 15 weeks to organize the event. We discussed the possibility of organizing such an event on a grand scale. I created six problem statements for Hackathon and provided five on 24th Sept '21. Diwali was nearby, Lots of reviews happened, and eventually, the event was decided to start on 1st Jan 2022. Within December'21, I had four meetings with Yogesh Sir, and we finally completed all the formalities of the event. We finalized four problem statements, rules for the participants, and evaluation rubrics for the jury members. I genuinely feel that the support and consideration given to my points by Yogesh Sir was too good, which resulted in our creative freedom in almost every aspect.

Further, the constant information and progress sharing by?Prof. Twinkle Bhavsar , Student Coordinator -?Viraj Mankad , and his colleagues must be appreciated for the event's success. We had 51 teams registered for the Hackathon. All teams received an email containing 4 Problem Statements of the Hackathon and report format sharp at 8 AM IST. By noon on 1st Jan itself, Viraj must have been bombarded with the Battleship questions, one of the problem statements. He had to contact me on WhatsApp for suggestions.

Creativity comes when you can make your own assumptions, not being bound with exact parameters.

I was happy to see 27 submissions within the timeline provided to all teams. The jury had a job to evaluate all submissions within 4 hours and give the grades used to compute Top 20 teams. As everything is finished, we were lucky to have only 27 on-time submissions; otherwise, evaluating 50+ submissions in 4 hours would have been very tough. I think this part will need more time in the upcoming Hackathon event. An online event is impossible without some tech hurdles. The organizing team promptly mitigated the connectivity issues to commence the presentation session. I was one of the juries along with Prof. Yogesh Trivedi and Mr. Nikhil Sonawane from MathWorks. You can watch the Presentation Round in this video recording of the event edited by Ayush Sengupta from MATLAB Helper. The presentation round was for about 3.5 hours, but Ayush has brilliantly brought it down to two and half hours.

I wish to give my hearty accolades to the Top 3:

1. MH23; Team Name: CanTin: Jayant Sogikar & Nandan Herekar (Ramaiah Institute of Technology, Bangalore, Karnataka)
2. MH38; Team Name: Insane Triads: Akshat Jain, Aditya Kundal, Barun Debnath (Nirma University, Ahmedabad, Gujarat)
3. MH50; Team Name: Order 66: Hridyanshu Kumar (IIT Guwahati, Assam) & Zaki Aslam (VIT Chennai, Tamil Nadu)

Hopefully, if I am still involved, I will try to make this event nationally and internationally successful next year.?

Moving forward, In our team meeting of MATLAB Helper, we made plans for the release of new learning content for the next two months. We have decided to organize our next live session on Friday, 25th Feb, for Course Introduction Session - Deep Learning. If interested, you can explore the course content?here ?and book the premium course.

If you have any questions based on Deep Learning, which you think we should answer during our live session, do let us know. The live session will be interactive and organized to spread awareness to our community members. We will also release the final 4 lessons of the course in the next two months. This Friday, 7th Jan, we had released a new video under our Deep Learning Course on LSTM Network in MATLAB:

LSTM model can train a deep neural network to classify sequence data. An #LSTM network allows us to feed sequence data into a system and identify conclusions based on the sequences data's distinct time steps. Learn its implementation in #MATLAB in 17th lesson of #DeepLearning Course.        

We are coming with a great blog on?Regression Learner App ?created by Anish Yadav and releasing on 18th Feb. You will learn how to develop, train and perform regression analysis step by step. The blog will be similar to the?Classification Learner App , which many of you have appreciated. Sneha, another member of our team, has designed a blog on?How to convert images from Spatial Domain to Frequency Domain , releasing on 4th Feb. Suppose you are interested in Astronomy or aware of the Hubble Space Telescope. In that case, you will find that they use frequency domain images, and you can learn how to do that yourself with MATLAB by referring to this upcoming blog. You can subscribe to our?YouTube Channel ?or newsletter from our?website? to get notified of the release of such new content. If you think I should not discuss such upcoming events in my article, please let me know in a comment with reasoning.?

Our new release of the ongoing week will be the Automatic Parking Assistance System in MATLAB. Parking is a challenge for inexperienced drivers & congested parking lots. An automatic parking system with MATLAB can be helpful for such situations. Watch the YouTube Premiere on 14th Jan at 6 PM IST & Subscribe to our channel.

What do I write at the end of such weekly articles? Can you suggest?