Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

From API to AI in 30 Seconds - Transform any API into an intelligent MCP agent that learns, adapts, and speaks human

A Dual-Coding Architecture for Intelligent Social Agents.

Scrape-AI is a Python library for intelligent web scraping using LLMs like, OpenAI, Anthropicand Selenium. It dynamically fetches data based on user queries, enabling agent-like scraping with configurable models, modular design, and support for real-time data extraction from dynamic websites.

Snake game in python with intelligent, self learning agents.

Formats and pivots data from D2L Brightspace intelligent agents, outcomes, and survey reports (manual Excel workflows also included)

Summer of Code, IITB 2017. This project involves developing smart agents that can play simple PC games. We use OpenAI as the base platform for benchmarking and testing.

Intelligent agent to play Wumpus World using Genetic Algorithms

CrewAIMaster transforms any task description into a fully functional, production-ready multi-agent system, making advanced AI orchestration accessible to everyone.

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

A self-evolving, AI-native language and platform for intelligent agents and autonomous software.

Tic-Tac-Toe

A multi-agent platform built on the top of the pystarworldsturbo library. Part of the Intelligent Agents course taught at Royal Holloway University of London.

This project explores the creation of dynamic agent-based environments using the Environment Editor (EE), a custom-built tool designed to generate multi-layered grid systems for simulations and games.

A combination of all code that I wrote during Eurisko, my high school's advanced computer science program.

This repository is intended for developing reinforcement learning algorithms.

An intelligent system for map exploration, victim clustering, severity estimation using machine learning, and rescue mission optimization with genetic algorithms.

All programs for AI lab

Agent Problem Solving Demo