A sophisticated movie recommender system that combines collaborative filtering, content-based search, and Large Language Model (LLM) enhancement to deliver personalized and engaging movie suggestio…

An interactive dashboard for analyzing and comparing the performance, cost, and capabilities of leading Large Language Models (LLMs). This tool fetches real-time data from the Hugging Face Open LLM…

This project is a multi-modal deep learning application that classifies movie genres based on their title, overview, budget, and runtime.

This project implements an intelligent ad recommendation system using Deep Q-Learning (DQN), a powerful reinforcement learning algorithm.

This project builds a Retrieval-Augmented Generation (RAG) and Agentic AI chatbot using CrewAI to tackle real-world customer service challenges. It includes how to create and orchestrate AI agents,…

An implementation of a self-improving AI agent using LangGraph that can generate content, evaluate its quality, and refine outputs through reflection.

This project integrates LLMs with a credit card transaction database using LangChain's SQLChain to develop an AI-assisted tool that enables effortless querying in natural language and offers immed…

This project demonstrates how to fine-tune a GPT-2 model using Direct Preference Optimization (DPO) with the Hugging Face trl (Transformer Reinforcement Learning) library.

This project extracts key fields (like invoice number, date, total, and payment details) from invoices using OCR for PDF inputs and includes a Streamlit web app for interactive usage.

This project explores how Reinforcement Learning (RL)—specifically, Deep Q-Learning—can be used to develop algorithmic trading strategies. We simulate a trading agent that learns to make buy, sell,…

This project implements a Reinforcement Learning (RL) agent capable of playing Tic-Tac-Toe. Two agents (X and O) are trained using Temporal Difference (TD) learning.

A complete walkthrough to generate anime faces using Deep Convolutional GANs (DCGANs) - built with PyTorch and deployed via Gradio.

This project implements a CycleGAN (Generative Adversarial Network) to transfer the artistic style of Claude Monet's paintings to regular photographs.

This project implements a U-Net model in PyTorch for biomedical image segmentation, specifically applied to electron microscopy images from the ISBI 2012 EM Segmentation Challenge.

This project demonstrates a practical application of NLP and LLMs to enhance customer support operations. It involves performing sentiment analysis on customer reviews, generating empathetic AI-dri…

This project aims to uncover underlying themes and topics within posts from the r/confession subreddit.

This project implements a semantic search pipeline using the 20 Newsgroups dataset as a sample corpus.

A deep learning project using Vision Transformer (ViT) to classify bean leaf diseases.

This project serves as an introduction to algorithmic trading through the development and evaluation of a basic strategy, specifically the Simple Moving Average (SMA) Crossover strategy.

This project analyzes daily industrial gas consumption data from NaTran and Terega across various regions in France.