An automated multi-agent system powered by CrewAI and Groq Llama 3.1 that performs deep market research on technical trends. It leverages collaborative AI agents to analyze complex data and generat…

The ultimate training toolkit for finetuning diffusion models

A hands-on journey through building advanced Retrieval-Augmented Generation (RAG) systems from scratch. Covers data ingestion, semantic chunking, hybrid retrieval, and agentic RAG pipelines with re…

A LangGraph-powered chatbot project with Streamlit frontends, supporting both in-memory and SQLite-based conversation persistence, real-time streaming responses, and multi-session chat management.

RAG ( Document Q & A )

Cloning Yourself using your whatsapp chat history and training a model on it.

This Conversational Q&A Chatbot is a Generative AI project built using LangChain. It enhances user interactions by maintaining memory of past exchanges, allowing for more context-aware responses.

Automated Severity Classification of Forum Complaints for Resolution Teams - Emphasizes automation and the end goal for resolution teams.

This project analyzes telecom customer churn using an ETL pipeline in SQL Server, Power BI dashboards, and a Random Forest model in Python. It identifies at-risk customers and key churn drivers. In…

These are the most commonly asked interview questions for DA, BA and DS profiles.

Handwritten Digit Classification using ANN (MNIST DATASET)

Dynamic Ride Pricing App This is a Streamlit web application designed to implement a dynamic pricing model for ride-sharing platforms.

This is an easy and fast tutorial for tensorflow. In data science, TensorFlow is an open-source machine learning framework by Google. It's used for building and training machine learning and deep l…

detailed and comprehensive time-series analysis using python (includes ARIMA and SARIMA)

The AdaBoost (Adaptive Boosting) algorithm is a popular ensemble method used in machine learning to improve the performance of weak classifiers. It combines multiple weak classifiers to create a st…

A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality e…

The Food Delivery Cost and Profitability Analysis is a thorough assessment designed to comprehend and enhance the financial dynamics of a food delivery operation.

Flipkart E-Commerce Reviews Sentiment Analysis examines customer reviews to gauge sentiment—positive, negative, or neutral. This helps Flipkart understand customer satisfaction, identify issues, an…

A comprehensive credit card weekly dashboard that provides real-time insights into key performance metrics and trends, enabling stakeholders to monitor and analyze credit card operations effectively.

Objective The objective of this case study is to analyze a company's sales data to gain insights into the performance of individual salespersons and the sales team as a whole. Based on this analysi…