This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.

A sophisticated news processing pipeline that combines AI-powered content extraction, advanced NLP techniques, and interactive data visualizations to provide comprehensive news analysis across multiple categories.

This repository contains a chatbot application designed to assist students and visitors of the Faculty of Sciences and Techniques in Tanger (FSTT) website. The chatbot use two approach of NLP: Retrieval-Augmented Generation (RAG) and Fine-Tuning.

Resume Analyzer is a prototype web application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

표현식 기반 자연어 처리 라이브러리

A real-world NLP project that classifies customer sentiments by product aspects using machine learning and deep learning.

This is my Sem 7 NLP Lab Project . For complete details, kindly check below README File.

A sophisticated news processing pipeline that combines AI-powered content extraction, advanced NLP techniques, and interactive data visualizations to provide comprehensive news analysis across multiple categories.

A book recommendation system that uses Natural Language Processing to analyze book descriptions, reviews, or metadata. Built with Python and NLP libraries like spaCy, NLTK, and scikit-learn to provide content-based recommendations.

Resume Analyzer is a prototype application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

TatvaX is a groundbreaking educational AI platform that democratizes learning by breaking language barriers. Built with cutting-edge AI technology, TatvaX delivers personalized educational content across 8 Indian languages (Hindi, Bengali, Marathi, Telugu, Tamil, Gujarati, Kannada, and English), making quality education accessible to millions.

To analyze the sentiment of Amazon food reviews using various techniques and compare the performance of different models.

An all usage Topic Modelling system for any English database