MCP Deep Research Server using Gemini creating a Research AI Agent
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
Connect Claude Code with Google's Gemini AI for seamless collaboration on coding tasks. Use this tool for quick code reviews and to brainstorm ideas effectively. 🐙💻
Hand-coded solutions in python for the Abstraction and Reasoning Corpus tasks
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.
Explanation and Game – Play Capabilities of Modern AI and Large Language Models Project
Personal Portfolio Website
Gemini MCP Server enhances your development process by connecting Claude with Google's Gemini models for efficient code analysis and problem-solving. Collaborate seamlessly as Claude orchestrates tasks while leveraging Gemini's insights for improved outcomes. 🛠️💻
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