DeepTextClassifier: Deep Learning Document Categorization Application

Overview

DeepTextClassifier is a powerful Application for categorizing textual documents into predefined categories using advanced deep learning techniques. It facilitates document organization, decision-making, and workflow automation.

Benefits

• Efficient document categorization
• Enhanced organization and accessibility of textual data
• Improved decision-making processes
• Automation of document classification tasks

Data Processing Pipeline

Technology Used

• NLP (Natural Language Processing)
• NLTK (Natural Language Toolkit)
• TensorFlow
• Pandas
• Matplotlib and Seaborn

Model Building

Technology Used

• Deep Learning
• TensorFlow Keras
• Embedding Layers
• LSTM (Long Short-Term Memory)
• Adam Optimizer

Web Application

Technology Used

• FastAPI
• HTML/CSS
• JavaScript
• Python
• File Handling Libraries
• AJAX (Asynchronous JavaScript and XML)

How to Run

To run the application, follow these steps:

1. Install the required dependencies listed in the requirements.txt file.
2. Run the FastAPI server using the command: python -m uvicorn main:app --reload.
3. Access the application by opening the index.html file in a web browser.

Contributions and Requirements

Contributions are welcome. Please refer to the project's GitHub repository for guidelines and requirements.