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In this Project We perform NLP tasks like QA Pair Generation, Question Answering, Text Summarization and Data Extraction from webpages using Large Language Models (Like Gemini ) and Langchain
This repository conatins two versions of text summarizer tool , one using GenAI and other using Extractive-Summariztion technique which is more simple that to GenAI one which encompasses some more advanced features
SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.
This website utilizes the Hugging Face API to generate image descriptions based on user-provided text input. The application is built with HTML, CSS, and JavaScript, and it leverages the facebook/bart-large-cnn model for generating textual summaries.
This project explored Twitter analytics, sentiment analysis, graph analytics, classification ML models, news API-based topic modeling, and text summarization.
The project adopts a modular approach to achieve multilingual text summarization. It starts with user-provided input, supporting multiple languages such as English, Hindi, and Bengali. Language detection helps identify the input language for further processing. We utilize pre-trained transformer models, such as BART and T5, for text summarization.
Dialogue Summarization application hosted using AWS and CICD deployment with docker and FASTAPI. Model card created in HuggingFace and a deployed on HuggingFace Spaces.