Overview

TextSage AI is an advanced Natural Language Processing (NLP) platform designed to transform large volumes of unstructured text into concise, meaningful insights. The system integrates state-of-the-art AI models to perform text summarization, sentiment analysis, and text classification, enabling users to quickly extract relevant information from documents, articles, and raw text inputs.

The platform focuses on efficiency, accuracy, and usability, making it suitable for students, researchers, and professionals who need to process textual data at scale.

Key Features

🔹 Intelligent Text Summarization
Automatically generates concise summaries from lengthy text while preserving key context and meaning.

🔹 Sentiment Analysis
Classifies text into positive, negative, or neutral sentiments using NLP techniques.

🔹 Text Classification
Categorizes content into predefined classes for better organization and understanding.

🔹 Keyword Extraction & Entity Recognition
Identifies important keywords and named entities to highlight critical information.

🔹 Smart Input Processing
Cleans input text by removing noise such as headers, footers, page numbers, and irrelevant symbols before processing.

🔹 Real-Time Processing
Provides fast and efficient outputs using optimized backend APIs.

🧠 Technologies Used

Frontend: React.js 

Backend: FastAPI, Python

NLP & AI Models: Transformers, Pre-trained Language Models

APIs & Integration: RESTful APIs for seamless communication

⚙️ System Architecture

The system follows a modular pipeline:

1. User Input Layer – Accepts raw text input

2. Preprocessing Module – Cleans and filters unnecessary content

3. NLP Processing Engine –

Summarization Model

Sentiment Analyzer

Classification Model

4. Output Layer – Displays structured insights in the UI

Objectives

Reduce information overload from large textual data

Improve productivity through automated summarization

Provide multi-functional NLP capabilities in a single platform

Deliver accurate and interpretable AI-driven insights