A LangGraph-based customer support agent that uses LLMs and memory for intelligent ticket triage, personalized responses, and automated support workflows. Built with LangChain, persistent memory, a…

This project is an AI-powered historian agent focused on Napoleon, leveraging Semantic Kernel, OpenAI, and Neo4j. It enables users to ask historical questions, which are answered using a vector dat…

LightRAG with Neo4j Example Project

In this project I implemented the concept of function calling in an Agentic process to help you to understand the core concept of a router agent to call tools

Personal Portfolio

In this project I evaluated the output of a vectorRAG using reflection agent strategy and different prompt engineering techniques including role prompting, chain of thought, ReAct and self consistency

In this project I designed a knowledge graph focused on Napoleon's history. I built a RAG application using this data and improved the output of LLM using the relationship between nodes

In this project I built a web developer agent based on reflection agent concept. This agent can reflect on generated website template and optimize it by itself

This project involves the development of an AI agent designed to handle two main tasks: Data Collection and Generating Insights from Data. The agent intelligently selects the appropriate tool based…

In this repository, I implemented a RAG (Retrieval-Augmented Generation) framework using Faiss for efficient similarity search and integrated it with the T5 model within the LangChain framework.

an Agentic customer support system that automate responses to common queries, prioritize urgent issues, and escalate complex queries to human agents.

In this project, I built a chatbot to answer customer simple inquiries about restaurants, such as displaying the food menu and contact, and providing information about the number of available table…

In this project, I used the RAVDESS dataset with eight emotions, each at two intensities. I built a model extracting five features from speech signals to classify emotions, providing valuable insig…

The objective of this project was to predicting housing prices for New York City. To achieve this goal, I performed web scraping to collect a dataset of 17,000 records from realtor.com, covering al…

For this project, I aimed to perform sentiment analysis on IMDB movie reviews. My dataset consisted of over 36,000 reviews, each accompanied by movie ratings ranging from 0 to 10. The primary objec…

In this project I built a linear regression algorithm from scratch to predict the price of the houses based on different features

In this project, I analyzed Coffee Bean Sales using Python, employing libraries such as pandas, matplotlib

In this project, I have built an interactive dashboard for a supermarket dataset using streamlit framework

In this project, I analyzed flight delays using Python, and I leveraged libraries such as pandas, matplotlib, and seaborn.

python-review-scraping-imdb-movie-site-with-BeautifulSoup