WhatsApp recently changed its privacy policy publicly acknowledging that it will share data with other Facebook companies. But there is something else far more scary.

Disclaimer: My focus has been on broadly clarifying the main issue with WhatsApp’s new Privacy Policy change in simple terms. Hence, I might have ignored some technical details or might have even gotten a few details incorrect. Please message me or comment here if you find any mistake. I’ll be happy to incorporate any feedback.


I provide the context for how I got started in the competition, my struggles, journey to the final solution and everything I learned

I recently took part in the SIIM-ISIC Melanoma Classification challenge hosted on Kaggle during the last 2 weeks of the competition and was able to secure my first silver🏅on the platform. This was only my 2nd Kaggle competition, and the first one in 4 years.

The point of mentioning this is merely to indicate what is possible even within such a short time frame. It was a tremendous learning opportunity for me and I regretted not being a part of this earlier. The goal of this post is walk through my journey of beginning the competition in its final phase…


My journey of building a startup during my sophomore year, how the experience changed me and the lessons I learned

The logo for ScholarMate: our idea to create a platform for bringing together teachers, parents and students.

When Jeff Bezos was stuck at the decision on whether to start Amazon, he introduced the idea of the regret minimization framework. It goes like this:

I wanted to project myself forward to age 80 and say, ‘Okay, now I’m looking back on my life. I want to have minimized the number of regrets I have. I knew that when I was 80, I was not going to regret having tried this. I was not going to regret trying to participate in this thing called the Internet that I thought was going to be a huge deal. I knew that…


My journey on understanding the importance of family over everything else and why I hope everyone does as well.

Photo by Liane Metzler on Unsplash

I have always been the kind of person who has wanted to break free of any restrictions imposed onto me. As a child, our parents try to protect us in every way possible based on their life experiences. While their intentions are incredibly pure, some of us (I think most) don’t prefer having told what to do and instead feel the urge to explore life in the way we want. We might end up doing what our parents were telling us to do in the first place. …


Learn how you can compress a 500 MB large deep learning model to just 5 MB with almost no drop in accuracy.

Source: https://www.blog.google/technology/ai/ai-takes-root-helping-farmers-identity-diseased-plants/

Over the past couple of years, the state-of-the-art AI algorithms have started moving out from research labs to out in the real world. This has significant implications as the advancements that have been happening in the AI community, now has the potential to reach billions of people across the globe. However, once you decide to deploy an AI model, there are a ton of things that need to be decided, one of them being the nature of the deployment.

There are broadly two ways in which one can deploy an AI model:


I had several powerful takeaways from during my time with people from different teams at Google and there are lessons that you can start applying as well.

The entire group in attendance: folks from Google.org, Google Launchpad, Google AI and all the grantees

Earlier this month during Google I/O, Jeff Dean, Head of Google AI, announced the winners of the Google AI Impact Challenge which aims to provide coaching from Google’s AI experts, Google.org grant funding from a $25 million pool, and credits and consulting from Google Cloud. Out of 2,600+ applications, 20 projects were selected and the project that I have been working on at Wadhwani AI is one of them, receiving a grant of $2 million and being the only team from India to be selected in the Impact Challenge. …


This post explains the working of the Single-Shot MultiBox Detector along with a code walkthrough

Object detection refers to the task of identifying various objects within an image and drawing a bounding box around each of them. A few examples are shown below to illustrate this better:

Source: https://arxiv.org/pdf/1512.02325.pdf

A lot of research has happened in this domain and the most commonly heard object detection algorithm is You Only Look Once (YOLO), which was the first effort towards obtaining a real-time detector and ever since it was introduced, it has undergone several updates. A major problem with the first version of YOLO was that its accuracy was very low compared to the state-of-the-art detectors of that time…


My stats as of today

I completed 37 hours of meditation today and I want to share the learnings I have had during this journey

37 hours may sound a lot to some or too less to others. It’s not something unique about the number and there are people who have spend way more time than me doing this. But the point is not to compare myself with someone else, just with me, the past me. So, for someone like me, who didn’t believe in meditation, thinking that it’s some kind of voodoo, spirit-related thing way beyond my capability, thinking that I could never possibly fit it into my “busy” schedule, 37 hours seems like a long way forward indeed. Headspace has been a life-changer…


The words “depression” and “loneliness” are no longer uncommon today and their presence among the younger generation has been increasing by the day. Different people have different reasons for depression, and loneliness is often one of the major factors causing depression. It’s not a coincidence that this increase has come at a time when there are a lot more people living alone, far from their families and friends, accompanied with a steep decline in the number of people engaged in truly meaningful relationships. …


Photo by John Westrock on Unsplash

Exactly 12 months ago, I went through a breakup from my sole relationship and in which I was deeply engaged in. That left me shattered from the inside and I went through a few months of depression which involved binge-watching television series and eating anything (literally) the whole day, just to get done with the day. I had no hope for my future and no willingness to get up in the morning. …

Aman Dalmia

Trying to be helpful. Do not hurry, do not rest! amandalmia.com

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