Magic Chat 🎙️ is a #real-time AI voice chat app with expressive characters using #OpenAI, #ElevenLabs, XTTS, #Ollama, #Kokoro TTS, #WebRTC, and #Docker, supporting #games, #stories, and #local or #cloud models.

Web app that provides relevant Quranic verses based on emotional states, combining sentiment analysis with spiritual guidance.

Sentiment-Analysis-Django-App

Free to use Twitter Sentiment Analysis and Visualization Application.

A Streamlit app for language translation and sentiment analysis powered by GoogleTranslator and TextBlob.

Crypto stock trader.

Toolset for checking differences in recognising semantic relation presence by: (1) large language models 🤖 and (2) annotators / experts ✍️

This project provides a powerful tool for stock market analysis and portfolio management, combining multiple forecasting models, technical analysis, and risk management features. Built with modern Python libraries and Streamlit for an intuitive user interface.

This project provides a simple script for determining the sentiment of a text input using TextBlob library in Python. It also returns the most positive and most negative sentence in the input text. The script can be used as a standalone tool or integrated into other projects.

sentimentAnalysis: Sentiment Analysis implementation with the TextBlob Python API. Receipt of text to be analyzed via YARP and publication of results via YARP port.

Explore Dutch Social Media trends with analyses on influencer behavior, geographical insights, daily activity patterns, sentiment trends, and prevalent topics using Python.

This repository provides examples for using the FreeGPT module, a lightweight Python library for integrating GPT (Generative Pre-trained Transformer) capabilities into various applications. These examples demonstrate how to leverage FreeGPT for a range of tasks.

"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."

Directory for Reddit API (praw) ETL process. This particular analysis is designed for the financial industry but can be modified to include any subreddit or group of subreddits from Reddit's platform. Incorporates the VADER and FinBERT sentiment analysis models. Additional querying and visualization done in Power BI.

Sentiment Analysis using Hugging face transformers

A Dockerized ETL pipeline for extracting, processing, and categorizing Gmail emails using an LLM, with results saved in CSV format.

A personal project using an NLP Model to create graphical plots based on user inputted file and instructions (consisting of choice of columns to be used for the graphical plots) . Additionally, this tool also does data quality check of uploaded data file along with sentiment analysis of user-inputted text.