DLO8012: Natural Language Processing [NLP] & CSL804: Computational Lab - II | BE Semester VIII | Computer Engineering

The results are drawn from experiments on the classification of legal documents using LLMs in a real-world institutional setting

This project analyzes IMDb movie reviews to classify sentiments as positive or negative. It includes text preprocessing, feature extraction using TF-IDF and CountVectorizer, training Logistic Regression and Naive Bayes classifiers, and visualizing frequent words with WordClouds.

The excellent Image captioning model using the DETR inspired architecture

💬 It uses NLP techniques to classify reviews as positive, neutral or negative, providing valuable insights into customer feedback.

News Category Classification using AG News dataset. Implements text preprocessing, TF-IDF vectorization, and trains Logistic Regression and a Neural Network to classify news into World, Sports, Business, and Sci/Tech categories. Includes data visualization and model evaluation.

PropInsight is an AI-powered property inspection report generator that utilizes LLM models to analyze property types and observed issues, generating comprehensive and data-driven reports for smarter decision-making.

Fake News Detection system using NLP techniques and TF-IDF vectorization to classify news articles as real or fake. Trained with Logistic Regression and SVM on the Fake and Real News Dataset, with preprocessing, evaluation metrics, and word cloud visualizations.

Named Entity Recognition (NER) on news articles using rule-based and spaCy models. Includes entity extraction, visualizations with displaCy, and comparison of small vs large spaCy models for analysis and insights.

NLP system that analyzes legal documents, identifies compliance risks, and generates contract summaries using transformer-based legal AI.

Brainlink is an interactive web application designed to foster knowledge sharing and collaborative learning.

FiscalTone: Text Analysis of Fiscal Policy Communications from Peru's Fiscal Council. Pipeline for scraping, processing, and performing text analysis on Consejo Fiscal (cf.gob.pe) documents to score fiscal risk sentiment using LLM-based classification (GPT-4o). Produces a novel Fiscal Tone Index from time-series analysis of official reports

A PDF Reader application powered by AI, allowing users to upload PDF documents and extract meaningful information using advanced NLP models. Built with Streamlit, Transformers, and Langchain, this app provides a seamless interface for interacting with and analyzing PDF content.

NLP-based fake news detection using pre-trained Word2Vec embeddings and semantic feature engineering. Includes deep EDA, entity-based features, interpretable metrics, and evaluation across multiple models including Logistic Regression, Decision Tree, and Random Forest.

Reproducible pipeline and dataset artifacts for large-scale topic modeling of 52,409 astrobiology-related ArXiv preprints (1996-2025) using BERTopic and comparative Top2Vec analysis.

A deep learning-based AI tool for correcting grammatical and spelling errors using TensorFlow. Features LSTM-based sequence-to-sequence modeling, data preprocessing, and real-time correction capabilities.

A new package that processes news headlines or short text inputs to generate structured summaries of events, such as service disruptions or incidents. It uses an LLM to extract key details like the co

A web-based intelligent system designed to classify and manage student inquiries at the university. Students can submit questions related to Finance, Student Affairs, IT, or Exams, and the system automatically routes each inquiry to the appropriate department.

Machine learning project for detecting fake news articles in the Palestinian context using natural language processing (NLP), data preprocessing, and classification models. Includes text cleaning, vectorization, model training, and evaluation.

A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche