This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI

A project to enhance ontology matching accuracy using Large Language Models (LLMs) like S-BERT.

training literature bert classification.

Ambiente de Desenvolvimento Integrado (ADI) contando com um explorador de arquivos, editor de código, compilador e outros.

This project provides a comprehensive analysis of tweet sentiment during the COVID-19 pandemic using Natural Language Processing (NLP) techniques. The dataset is classified into five sentiment classes, and thorough data exploration and preprocessing techniques are applied to handle imbalances. ML & DL models utilised.

This repository contains code for generating blog content using the LLama 2 language model. It integrates with Streamlit for easy user interaction. Simply input your blog topic, desired word count, and writing style to generate engaging blog content.

Experience simple Text-to-Speech (TTS) functionality using pyttsx3 module, compatible with various speech engines like NSSpeechSynthesizer, SAPI5, and eSpeak.

Projects and useful articles / links

Sentiment Analysis of Tweets for a renowned shoe brand

"Detect sarcasm effortlessly! This Python app uses NLP and ML to analyze text sentiment, distinguishing sarcastic tones. With a user-friendly interface, input any text for real-time sarcasm identification. Achieve accurate results through advanced sentiment analysis techniques and trained models."

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

BookGPTs: Revolutionizing Book Interactions with AI. Create GPTs for any e-book, making technology accessible for all to engage in rich, AI-powered book discussions. No technical expertise required – upload a document and bring your favorite books to conversational life!

WebScrapeSummarizer 🌐✍️: A web tool that fetches and summarizes content from any domain, offering insights in a compact CSV format.

A comprehensive reference for all topics related to Natural Language Processing

The Harmony project

Document based ChatGPT

A project consisting of analysis of sarcasm in text using Natural Language Processing techniques. It highlights the importance of context and punctuation in sarcasm detection. Different deep learning models are applied and compared to get the best accuracy in sarcasm detection.

How to build a chatbot to parse conditional statements

This is a Flask backend that allows users to upload a PDF file and receive a simplified and humorous explanation of its contents using OpenAI's GPT-3 API. The application uses NLTK to split the PDF text into smaller chunks to stay within the API's maximum token limit, and PyPDF2 to extract the text from the PDF file.