Selvam Subbiah

Give your AI agent superpowers with custom tools Series Navigation: This is Post 3 of the Google ADK Tutorial Series. ← Previous: LiteLLM Integration: Making Your ADK Agents Model-Agnostic What You’ll Learn By the end of this post, you’ll understand the t…

Switch between OpenAI, Claude, and Gemini with one line of code 📚 Series Navigation: This is Post 2 of the Google ADK Tutorial Series. ← Previous: Introduction to Google ADK What You’ll Learn By the end of this post, you’ll: Understand how LiteLLM works w…

What You’ll Learn By the end of this post, you’ll: Understand what Google ADK is Build a working AI agent from scratch Understand ADK’s core architecture (App, Agent, Tools) Prerequisites: Python 3.10+, basic Python knowledge, an API key for an LLM provid…

In this post, we will look at how to use Okta to authenticate and authorize requests to an MCP server.

This is a continuation to the previous article on generating MongoDB Queries using OpenAI Chat Completion API .

I’m a big fan of mongoplayground.net as it is one of the most useful and widely used tools for swiftly testing various MongoDB queries while working on a problem.

It is always best practice to use virtual environments while working on Python projects.

In this blog post, we will look at how to configure OAuth authentication for a REST API using AWS Cognito user Pool.

This article is a continuation of the previous article on Semantic Image Segmentation in the browser using TensorFlow.js pre-trained DeepLab model.

In Computer Vision, one of the main challenges is to understand an image at a higher level like the way we humans do, i.e., to identify the objects, their location and their surroundings to make sense of the scene captured in the image.

This article is the continuation of the previous article on MediaPipe Face Mesh model in TensorFlow.js, where we looked at creating the triangle mesh of the face using the model’s output.

This article is the continuation of the previous article on MediaPipe Face Mesh model in TensorFlow.js, where we looked at the basic usage of this model.

In this article, we will walk through an example to identify facial landmarks using the state of the art MediaPipe Face Mesh model .

In this article, we will look at how to use Pose Detection in TensorFlow.js to classify cricket shots.

Human Pose Detection is fascinating as there are endless use cases and opens up the possibility for various kinds of applications which were earlier either difficult to build or required specialized hardware and software.

I have often wondered if I can build a tool that can accept custom queries to filter photos and images based on the items present in the image.

As most of us are working from home now, it has become a normal thing to set a custom background for our video calls through popular apps such as Zoom or Microsoft Teams.

Most of us interested in TensorFlow.js would be familiar with the popular demo of disappearing people in real time by Jason Mayes.

In this article, we will be building a simple app to detect objects on an image using TensorFlow.js library.