Analyzes emotions in text chunks per chapter using a sentiment analysis model, visualizing scores across chunks as line graphs. Includes pie charts showing dominant emotions per chapter, enhancing understanding of emotional variations in text chunks. Developed using Transformers library.

An end-to-end natural language processing based app.

Plagiarism Checker from the given database

The project leveraged advanced NLP techniques to accurately classify resume catehories with high precision and recall. Includes a Streamlit interface for seamless resume uploads and predictions. Built to handle edge cases like invalid inputs and out-of-dataset values.

The project leveraged advanced NLP techniques to accurately classify resume catehories with high precision and recall. Includes a Streamlit interface for seamless resume uploads and predictions. Built to handle edge cases like invalid inputs and out-of-dataset values.