Simple OS Independent Text-Processing and -Analytics Command Line Tool made in Python.
An application which takes in live speech or audio recording as input, converts it into text and displays the relevant Indian Sign Language images or GIFs.
A Streamlit app that performs Named Entity Recognition (NER), links entities to Wikipedia, and handles disambiguation for ambiguous terms like "Apple," using NLP techniques.
This application fixes the issue of missing lyrics on Spotify. It fetches them from other lyrics providers rather than the ones Spotify is in partnership with.
Empower your projects with high-quality, natural-sounding voices, crafted for diverse applications from interactive games to enhanced accessibility.
TerminalDesigner is a Python-based project aimed at enhancing text processing capabilities in the terminal. It provides a set of tools and functionalities to manipulate text appearance, create ASCII art, and modify terminal colors
"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."
Documentation and scripts of khasi-khasi Dictionary Digitalisation project
This assignments focuses on implementing and applying various AI algorithms and techniques.
NLP Explorer is an interactive Streamlit app that lets users explore various NLP techniques like Tokenization, POS Tagging, Stemming, Lemmatization, and NER. It provides real-time analysis of text, making it a great tool for learning and experimenting with NLP concepts.
A Cold Email Generator that uses Groq Cloud, ChromaDB, Langchain, and Streamlit to automatically create personalized cold emails for job opportunities by extracting details from job listings.
A Streamlit app for language translation and sentiment analysis powered by GoogleTranslator and TextBlob.
Some example code I've written during my PhD in Applied Linguistics and Technology.
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