A basic tweet Automation with cron job using LLM,s

LawGuru, a state-of-the-art web app, utilizes AI chatbot technology, providing personalized legal assistance to simplify the complexities of the law for seamless navigation across diverse legal topics, ensuring accessibility for all users.

An advanced AI-powered mental health platform combining cutting-edge natural language processing, emotional intelligence, and blockchain technology to provide personalized, secure, and accessible therapeutic support.

The backend powering the Oussama AI Agent, providing real-time conversation, WebSocket streaming, session management, and voice synthesis (Arabic & English). Built with Node.js, Express, GEMINI AI Realtime API, and WebSockets.

Harnessing Vector Database and ChatGPT intuitive document analysis

json extractor from an arbitrary text

Developed an AI-powered delivery and warehouse management system that helps sellers optimize their operations and grow their business.

API Generative AI with bedrock SageMaker LangChain using AWS CDK, CDKTF, CloudFormation, Boto3 and Python

A RAG-based AI Research Assistant that enables natural language querying of PDF documents using OpenAI GPT-4 and FAISS vector search."

AI-powered Kyoto travel planning system based on RAG, LangGraph, Function Calling, FAISS and Docker.

Production-grade LLMOps pipeline: End-to-end guide for building scalable, observable LLM apps with RAG, prompt versioning, tracing, guardrails, and cost optimization using LangChain, Pinecone, vLLM, LangSmith, and more.

AI Playgrounds, a repository created to explore, experiment, and prototype Proof of Concepts (POCs) around AI tools and technologies using Python.

AI-Powered Knowledge Workspace using Retrieval-Augmented Generation (RAG)

A full stack app using OpenAI API with file input as context to answer chat queries.

AI Cognitive Routing System using LangGraph, Vector Search, and RAG-based Prompt Injection Defense

An LLM powered ChatBot Streamlit app so you can chat with your CSV files

How to make an AI agent to do Macaulay2 Computation for you. (I know most people using Macaulay 2 are smart enough to do it, this should just save some of your time from actually type the code)

This project transforms backend logs and system error outputs into human-readable incident reports using Large Language Models (LLMs). It helps Site Reliability Engineering (SRE) and DevOps teams quickly understand the nature of system failures and their likely causes.

Showcasing the high-quality interactive AI/ML/GenAI educational content (modules, visualizations, templates, code notebooks, mini-tools)