Aftab

MCP-Build-Rich-Context-AI-Apps-with-Anthropic

May 17, 2025 – May 17, 2025

Model Context Protocol (MCP), an open standard developed by Anthropic to simplify the integration of AI applications with external tools and data sources

Book-Writing-AI-Agent

April 30, 2025 – November 4, 2025

An intelligent, multi-agent system to autonomously plan, write, edit, fact-check, and publish a complete book using the CrewAI framework and Groq's LLaMA-3-70B model. This AI pipeline mimics the collaborative process of human authors, editors, and publishers to streamline creative book development.

Docling__LLamaIndex_RAG

November 23, 2024 – November 26, 2024

Docling parses documents and exports them to the desired format with ease and speed.Reads popular document formats (PDF, DOCX, PPTX, XLSX, Images, HTML, AsciiDoc & Markdown) and exports to Markdown and JSON

Multimodel_Search_RAG

November 2, 2024 – November 13, 2024

multimodal search and Retrieval-Augmented Generation (RAG) have transformed the way we search and retrieve information by enabling the combination of multiple data types, such as text, images, and audio. Multimodal search leverages this diversity of data to provide more accurate and contextually rich search results

Build-and-Evaluate-Advanced-RAG

August 24, 2024 – Present

This project focuses on building and evaluating advanced Retrieval-Augmented Generation (RAG) techniques. RAG is a powerful approach that combines the strengths of information retrieval and generative models to produce more accurate and contextually relevant responses.

LLamaIndex-Web-Page-Reader

August 21, 2024 – August 21, 2024

Utilizing LlamaIndex and Google Gemini's Multiple Models , We create a Web Page Reader ,where we provide a URL of a Web Page and the models will be able to understand and fetch the required data.

ML_Model_Web_Application

July 7, 2024 – January 19, 2025

This project, developed by Invergence Analytics, aims to predict managers who are likely to switch to other funds. The dataset, created by our data experts and SMEs, contains 120 features and 460,000 records. Due to the real-world nature of the data, it is highly imbalanced, with fewer instances of managers switching funds

Unlocking-the-Power-of-NLP-Automatic-Question-Generation

September 2, 2023 – September 2, 2023

Question generation is a challenging natural language processing task that involves creating meaningful questions from provided context and answers. This project showcases how to perform this task effectively using transformer-based models, Flash Text for keyword extraction, and the T5 model for question generation.

Fake-News-Detection-Using-NLP-and-BERT

July 4, 2023 – Present

This project focuses on the detection of fake news using Natural Language Processing (NLP) techniques and BERT (Bidirectional Encoder Representations from Transformers) model. The goal is to build a machine learning model that can accurately classify news articles as either fake or true based on their textual content.

End-to-End-Time-Series-ForeCasting-Project

June 20, 2023 – June 20, 2023

This project focuses on forecasting the volume of Apple stock traded using Time Series Forecasting techniques. The dataset used contains the stock price data of Apple from the NASDAQ stock exchange for selected time periods in 2018 and 2019.