Oorjit Sethi's Blog

Destiny. Fate. Whatever you want to call it. The notion that everything that might happen to an entity is predetermined. People have been known to give their life to this concept, with the faith that whatever destiny has in store for them, will happen, no matter what. So why try? If the future is already written, why should I make an effort to build it? This kind of mentality is extremely, extremely dangerous, which is why it is necessary to clarify what destiny means for me. If we take the most common interpretation of it, destiny is what is behind an invisible and intangible curtain. It is a piece of paper that stretches all the way from our conception to our eventual demise. On the paper is written everything that has happened and everything that will.   Everything that has happened is already in your mind, as memories, and whatever will happen is constantly entering your mind, again, as memories. These remembrances-to-come are not known to you until they have already happened. ...

This text details the technical workings of a BMI prediction application built using Streamlit.  It uses a dataset of 526 individuals, and a Random Forest Regression model. The application leverages several machine learning techniques alongside the dlib library for facial landmark detection, aiming to deliver BMI estimates based solely on facial features. Data Preparation The core of this application is a dataset obtained from a publicly available source. This dataset contains facial measurements and corresponding BMI values, which serve as the foundation for training a predictive model. The dataset was preprocessed to exclude missing data, and relevant features were selected for the model. The features considered in the final model exclude demographic factors such as age and height, focusing on physical facial measurements derived from the images. These features were then scaled using StandardScaler to normalize the values, ensuring the model can learn effectively from the data w...

  MKBHD, also known as Marques Brownlee, has been dubbed several times as "the man who decides what tech everyone in America buys." That term is not an overstatement. Marques has a lot of power when you zoom in and look at the effect he has had on several companies. Take the Rabbit R1, for example. The Rabbit R1 was meant to be a product that changed the AI industry—a device eventually meant to replace smartphones. However, Marques’ review was brutally honest, bashing its functionality, design flaws, and lack of practicality. The people took notice, and the negative feedback from his review sent waves through the startup, putting them on the brink of collapse. When MKBHD critiques a product, the entire industry listens, and his influence can make or break even the most visionary tech companies. ven phones made 3 years ago. His evaluation led to widespread backlash against the company, putting on full display the power reviewers hold over consumer trust. Maini's recent tak...