Breaking Down YOLO: How Real Time Object Detection Works Step by Step
Author(s): Abinaya Subramaniam Originally published on Towards AI. Object detection is one of the most interesting areas of computer vision. It is the process of identifying and locating objects in an image. Popular examples include detecting cars on a road, identifying products …
Understanding Multimodal LLMs: The Next Evolution of AI
Author(s): Abinaya Subramaniam Originally published on Towards AI. Discover how multimodal LLMs are transforming AI by combining text, images, audio, and video into a single reasoning system. Learn how they work, real-world applications, challenges, and why they’re the next evolution beyond text-only …
Inside World Models and V-JEPA: Building AI That Predicts Reality
Author(s): Abinaya Subramaniam Originally published on Towards AI. Artificial intelligence has dazzled the world with its ability to generate text, images, and even music. Large Language Models (LLMs) like GPT and multimodal systems that combine text, vision, and audio have pushed the …
DoodlAI- Build a Real-Time Doodle Recognition AI with CNN
Author(s): Abinaya Subramaniam Originally published on Towards AI. Have you ever wondered if a computer could recognize your doodles of cats, trees, cars, or even clocks, as you draw them? That’s exactly what DoodlAI does. In this blog, I’ll take you step …
Building an Employee Onboarding Chatbot with RAG, FastAPI, and AI
Author(s): Abinaya Subramaniam Originally published on Towards AI. Learn how to build a smart employee onboarding assistant using Retrieval-Augmented Generation (RAG), FastAPI, and LLMs. Step-by-step guide with code, vector embeddings, and conversation memory to create a context-aware AI chatbot for your company …
Understanding Logistic Regression: Theory, Intuition, and Applications
Author(s): Abinaya Subramaniam Originally published on Towards AI. Logistic Regression — Image by Author You may already be familiar with linear regression, which models a straight line relationship between input features and a continuous output. However, when the output variable is categorical, …
Handling Imbalanced Datasets in Machine Learning: SMOTE, Oversampling & Undersampling Explained
Author(s): Abinaya Subramaniam Originally published on Towards AI. Imbalanced Datasets — Image by Author What are imbalanced Datasets? In many real-world classification problems, the number of samples in each class is not balanced. This is called an imbalanced dataset. For example, in …
The Power of Prolog: A Comprehensive Guide to Logic Programming for AI
Author(s): Abinaya Subramaniam Originally published on Towards AI. Programming in Logic — Image by Author In procedural or object-oriented programming (OOP), such as languages like C, Java, or Python, the focus is on how to do things. In these languages, we write …
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