Computer science is the study of problems, problem-solving, and the solutions that come out of the problem-solving process. This repo contains solutions to algorithmic problems from various platfor…

This repository will contain a comprehensive collection of machine learning algorithms, each with clear and concise implementations of supervised learning, unsupervised learning, or reinforcement l…

Productivity tracking app

A personal collection of small Plotly Dash apps and snippets for learning and experimenting with interactive dashboards;

Exploring graph-based LLMs, multi-agent systems, Neo4j, LangGraph, and Cypher query language. This repo is my sandbox for learning, experimenting, and building graph-powered intelligent agents.

A content-driven book recommendation, classification and cold-start enhancement system that simplifies noisy category data and uses NLP to enable smarter recommendations, especially for books with …

GraphifyMind transforms PDFs or raw text into interactive Knowledge Graphs using LLMs like GPT-4. It extracts key entities and maps relationships visually with LangChain and Streamlit. Fully Docker…

This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of langu…

Project uses MediaPipe to recognize and track hand gestures from both live video and images. By identifying 3D hand landmarks in real time, it enables intuitive gesture-based control. Have successf…

Stream live camera feeds from NVIDIA Jetson or Raspberry Pi over RTSP using GStreamer and Python. Ideal for robotics, IoT, computer vision, and edge AI applications where real-time video access is …

This repository contains experiments on fine-tuning LLMs (Llama, Llama3.1, Gemma). It includes notebooks for model tuning, data preprocessing, and hyperparameter optimization to enhance model perfo…

Prompt engineering is a concept in AI[NLP]. Prompt engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model with what has been called "pro…

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and…

Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sen…

This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of langu…

OmniAvatar combines NVIDIA Omniverse Audio2Face and LLMs to create avatars that interact with lifelike expression and context-aware responses, making virtual communication more immersive and dynami…

This repository serves as a template for Python projects, providing a structure and examples to kickstart my development process

This repository contains code for detecting languages and performing translations using machine learning models and natural language processing techniques. The project is implemented in Python usin…

Built and Developed Netflix Clone using React JS, Redux, JS, CSS. Scroll across and click on your favorite show to watch its Trailer.

CLIP is a multi-modal, zero-shot open-source paradigm. Without optimizing for a specific purpose, given a picture and text descriptions, the model can predict the best suitable text description for…

From basics to building complex projects

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, along with a broad set of capabilities we need to build generative AI app…

A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part …

Master the fundamentals of machine learning topics by coding and studying design questions.

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object.