Descriptive Analytics and Data Preprocessing on Sales & Discounts Dataset

An end-to-end data engineering pipeline built on Azure, covering ingestion, transformation, storage, and reporting. This project integrates Data Factory, Data Lake, Databricks, Synapse, and Power B…

Understanding the overall AI Development Overview

This repository contains Jupyter notebooks showcasing different deep learning experiments and models. It covers preprocessing steps, artificial neural networks (ANN), convolutional neural networks …

This agentic AI system automates Beverage Trade Network's global sales and warehouse operations through intelligent AI agents.

Colang is a Modelling language enabling Guardrails for a conversational system.

Most Important GenAI Interview question with assignment for practice .

A data-driven analytics solution designed to improve healthcare operations, patient outcomes, and decision-making through actionable insights.

This is the backend API for the Fashion Chatbot project, built using FastAPI. It processes user queries and returns intelligent fashion-related suggestions using LLMs and vector search.

This is the frontend of the AI-powered Fashion Chatbot. It provides an elegant interface for users to ask fashion-related questions and receive smart, AI-generated responses from the backend API.

This project explores the relationship between trader performance and market sentiment using two primary datasets.

Prompt injection is a type of attack where malicious users craft prompts that trick or manipulate a language model into: - Ignoring system-level or developer instructions - Producing harmful, biase…

It is a structured natural language instruction designed to guide generative AI models like Chat GPT. Prompts help translate human intent into tasks the AI can understand and execute effectively.

Welcome !!!! To have a look on my Resume . Do leave suggestions if any and also I am open for full time Job Roles.

Your comprehensive visual guide to cracking the PMI-ACP® Certification with clarity, confidence, and agility!

This project analyzes real-world hospitality booking data to uncover trends in guest preferences, booking behavior, revenue patterns, property performance, and operational efficiency. The data span…

This project explores Kickstarter's crowdfunding dataset, analyzing over 365,000+ projects across multiple categories and countries to discover patterns in project success, backer behavior, funding…

This project analyzes one year of real-world HTTP access logs from the University of Calgary’s computer science server. Using Python, pandas, and regular expressions, we clean and parse the data to…

This project explores AutoGen and Agentic AI — advanced technologies that allow AI agents (like ChatGPT) to work together in conversations to complete complex tasks. Using Python and OpenAI, we sim…

This project demonstrates an AI-powered Agentic System using AutoGen to help a startup market its lightweight water bottle. It simulates how intelligent agents can work together in a sequential con…

Crew Real-Time is a collaborative AI system powered by CrewAI, where multiple intelligent agents work together in real time to perform tasks, share knowledge, and simulate decision-making—just like…

The Deep Evaluation notebook helps you understand how well your machine learning model is performing. It starts by cleaning the data, then loads a trained model for testing. It measures performance…

Autonomous multi-agent system using CrewAI, LangChain, and OpenAI GPT for collaborative task execution. Agents with distinct roles (Researcher, Analyst, Writer) use structured workflows and integra…