This is my Sem 7 NLP Lab Project . For complete details, kindly check below README File.
Telugu AI Voice & Text Summarizer 2026 🔥 mT5 & TTS NLP App
AI-powered paraphrasing tool using transformer models to generate meaningful and fluent text rewrites with evaluation metrics like BLEU, ROUGE, and semantic similarity.
Fine‑tune aragpt2‑base to generate Arabic quizzes from any document (PDF, DOCX, image, audio). NLP final project.
Analyze your resume, GitHub profile, and a job description together. Extract skills from each source, compare them, and get insights on skill gaps, overlaps, and match scores to improve your resume and public profile.
A Flask-based NLP web app that detects 12 figures of speech and generates poetic enhancements using rule-based algorithms. Features a modern, interactive interface for analyzing literary devices and transforming text into poetry. Built with NLTK and regex.
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.
End-to-end Arabic NLP project using the AAFAQ dataset for question classification, generative QA, API-based translation, and Streamlit deployment.
Sentiment Analysis of Restaurant Reviews (Majhitar, Sikkim) is a machine learning project that classifies customer reviews into Positive, Neutral, and Negative sentiments using TF-IDF and Logistic Regression. It includes data preprocessing, model training, evaluation, and a Streamlit web app for real-time prediction.
Built an AI-powered resume screening system that parses resumes, auto-detects job roles, and ranks candidates based on skill, experience, and education match using Python and Streamlit.
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.
Research-driven machine learning system for fake news detection and trust-based news verification.
Arabic NLP project comparing traditional, deep learning, and transformer-based models for text classification and summarization.
A simplified Conversational QA system using BERT, extended with a rule-based dialogue history mechanism to resolve pronouns and elliptical follow-up questions.
Open-source fake news scoring: permissive public datasets (Hugging Face), TF-IDF + Keras (BiLSTM/Transformer), Django platform UI, MLflow hooks, CI/CD, dependency audit, Bandit SAST, and CodeQL. MIT licensed.
AI Research Assistant is an intelligent web application that helps users analyze documents, search research content, and generate AI-powered answers. The project uses Retrieval-Augmented Generation (RAG) concepts to retrieve relevant information and provide accurate responses from research papers, notes, and documents.
A real-world NLP project that classifies customer sentiments by product aspects using machine learning and deep learning.
AI-powered quiz generator using BERT NER + T5 Question Generation — Streamlit web app
AI-powered company chatbot for answering FAQs, support queries, and business information.
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