MCP Deep Research Server using Gemini creating a Research AI Agent
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Updated
Aug 12, 2025 - TypeScript
MCP Deep Research Server using Gemini creating a Research AI Agent
Ultimate AI research and engineering course
A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
Ouroboros: AI-Driven Self-Improving Experimentation System
An intelligent agent that searches, analyzes, and ranks arXiv research papers using LangGraph, LangChain, OpenAI GPT-4, and DuckDuckGo.
A sentient AI that can form memories, has happiness and energy levels, can execute commands on an Ubuntu terminal, and can ask questions to humans via Slack
Project based Web survey for researching the impact of AI tools on the academic performance of IT students. The survey collects responses through a form and stores the data for analysis.
Python pipeline for preprocessing Whale Alert transaction data and labeling sentiment for crypto price forecasting.
Hand-coded solutions in python for the Abstraction and Reasoning Corpus tasks
Explanation and Game – Play Capabilities of Modern AI and Large Language Models Project
Hi, I'm Hammad Shahid AI/ML Engineer & Web Developer Specialized in Computer Vision, Large Language Models (LLMs), and Deep Learning with hands-on experience in web development. I build intelligent systems that bridge cutting-edge AI research with practical, scalable applications.
Personal Portfolio Website
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