Flavor Bot is a recipe recommendation chatbot that suggests recipes based on ingredients or dish preferences.

Tool designed to analyze user reviews on Steam, the popular gaming platform. Unlike Steam's existing algorithm, which simply categorizes reviews as positive or negative based on overall ratings, this project delves deeper. It examines individual reviews to determine the sentiment expressed by players toward each game.

Know-Genius an AI Chatbot who's a General Knowledge Genius!

Machine Learning Notebooks for various ML models like CNNs, RF, SVM, Log-reg, etc.

This repository contains the coursework and projects for the Natural Language Processing (T-725-MALV) course supplied in the Cybersecurity Master Degree at Reykjavik University.

Developing ChatBot [ open source ]

Application enabling to search through the General Comments/ Recommendations adopted by the UN Treaty Bodies (based on keywords, concerned groups and customized labels) and analyze search results.

This project is a content-based movie recommendation system built using Python and Streamlit. The system suggests movies similar to a user-selected movie by analyzing plot descriptions and using machine learning techniques like cosine similarity.

Implementing three part-of-speech tagging algorithms—Eager, Viterbi, and Individually Most Probable Tags—and comparing their accuracy across English, Korean, and Swedish.

Dynamic MCQ Generator using NLP

It is Persian Text processing with parsivar library

Spam Classifier using Naive Bayes and Other Machine Learning Algorithms. This project aims to build a spam classification system that can accurately detect whether a given message is spam or ham (not spam). The system utilizes text preprocessing techniques and multiple machine learning models to ensure high accuracy and precision.

This project applies sentiment analysis to RateMyProfessor reviews using NLP techniques. It preprocesses data with Pandas and NumPy and uses pretrained Transformer models with PyTorch for fine-tuned sentiment classification. TextBlob provides initial sentiment scores, while transfer learning improves model accuracy, capturing nuanced feedback.

Natural Language Processing

Screen resumes to identify the best candidates.Build a machine learning model that screens resumes and ranks candidates based on job descriptions.Streamline the hiring process for HR departments by automating candidate screening.

The Duolingo for certifications instead of languages!

This is genrative artificial intelligent without any api of openai or google gemini it is made from scratch to test and learn the artificial intelligence from scratch