Author: Fritz

If you follow me, you know that this year I started a series called Weekly Digest for Data Science and AI: Python & R, where I highlighted the best libraries, repos, packages, and tools that help us be better data scientists for all kinds of tasks.

The great folks at Heartbeat sponsored a lot of these digests, and they asked me to create a list of the best of the best—those libraries that really changed or improved the way we worked this year (and beyond).

Continue reading Top 7 Libraries and Packages for Data Science and AI: Python & R

Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints. It’s also important to note that pose estimation has various sub-tasks such as single pose estimation, estimating poses in an image with many people, estimating poses in crowded places, and estimating poses in videos.

Continue reading Human Pose Estimation Guide (2023)

A notification is a message you can display to users outside of your application’s normal UI. When you tell the system to issue a notification, it first appears as an icon in the notification area.

To see the details of a notification, the user opens the notification drawer, can tap it to open the app related to it, or take an action directly from the notification. Both the notification area and the notification drawer are system-controlled areas that the user can view at any time.

Continue reading Android Notifications

While working with any kind of client app (be it mobile or desktop), you almost always need to have permanent storage in place that can allow you to store data, even when your application is stopped or closed by a user. Usually, such storage can be used to save the data from your app’s last use, or for saving data that was fetched from the internet so you don’t need to fetch it again, etc.

Continue reading Abstracting SQL queries with Room Database in Android

Hello readers, continuing on from my previous article where I explained about how the face recognition internally works, here I will give you the code implementation and will guide you step-by-step on how to start an attendance system using face recognition.

This whole attendance system can be divided into two parts, one where we will register students and the other which will be used to infer on a video feed. I will provide a basic working pipeline which can be extended to any use case easily.

Continue reading Attendance System Based On Face Recognition (Implementation)

In recent years, there’s been a steep increase in the number of write-ups and articles on ‘Artificial Intelligence’ (AI), ‘Machine Learning’ (ML) and ‘Big Data’—obviously because practical applications of these new technologies is trending upward in all business domains and in day-to-day life.

Oftentimes, online conversations centered on these technologies tend to interchange these terms, which is understandable given a lack of technical expertise. But somewhat surprisingly, quite a few tech-savvy authors and articles I’ve come across are also swapping these terminologies with each-other, despite the fact that AI, ML and big data are quite distinct from each other.

Continue reading Artificial Intelligence (AI) vs Machine Learning (ML) vs Big Data

As developers, we love exploring concepts and mechanisms while working with a new framework. As a cross-platform development framework, React Native has matured quite a lot since I started playing around with it. Understanding the fundamentals when learning it is something very helpful and—I believe—essential.

Thus, by applying the basic fundamentals of React Native knowledge, I’m going to walk you through how to build a to-do list application using an offline storage functionality. This storage functionality is provided by a native module in React Native called AsyncStorage.

Continue reading Building offline React Native apps with AsyncStorage

Every time you want to search for an image similar to another one, you’re more or less left with one option: “Search Google for image”. Have you ever wondered what algorithms are making this happen? This is what we’ll explore in this blog post.

There are numerous algorithms present today for this task, and depending on the use cases, the algorithms used can vary. Below are the major categories of image search engines:

Continue reading Building a Content-based Image Search Engine (Part 1)

Speaking to your home is no longer a sci-fi fantasy but a common part of everyday life for many. This is undoubtedly exciting, but the accessibility of voice assistants (Amazon Alexa, Google Assistant, etc…) is now more crucial than ever. In fact, assisting someone with a disability has a bigger positive impact than helping someone set a timer while baking.

Continue reading Building a Voice Assistant for Blind and Partially-Sighted People: A Student Group Project