DocM - Intelligent Document Management

Demonstration Video:

Overview

DocM is a cutting-edge document management system designed to streamline document processing, extraction, and organization. By leveraging advanced AI capabilities, a robust backend infrastructure, and an intuitive user interface, DocM transforms unstructured information into structured, accessible data, ensuring seamless document management.

Key Features

• Optical Character Recognition (OCR): Extracts text from scanned documents and images with high accuracy.
• Named Entity Recognition (NER): Identifies and categorizes key entities within documents, facilitating structured data extraction.
• Metadata Extraction: Captures and indexes relevant metadata for efficient document retrieval.
• Large Language Model (LLM) Integration: Enhances document comprehension and contextual analysis.
• Django-Powered Backend: Provides a scalable, secure, and efficient backend architecture.
• Intuitive UI/UX: Offers a seamless and user-friendly document handling experience.
• Optimized Frontend with Tailwind CSS: Ensures a visually appealing, responsive, and efficient user interface.

Tech Stack

• Frontend: HTML, Tailwind CSS, JavaScript
• Backend: Django
• AI & NLP: Optical Character Recognition (OCR), Named Entity Recognition (NER), LLM APIs
• Database: Neon PostgreSQL
• Version Control: Git & GitHub

Team members

• Mohit Madhu(Team Lead): AI, OCR and NER
• Kaustubh Kadam: Frontend and Backend
• Mayank: Frontend
• Shrinivas: UI/UX
• Sambhav: API, AI and LLMOPS

Installation Steps (Website)

To set up and run DocM locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/KadamKaustubh147/ai_doc_manager

2. Edit .env.template with related info and rename it to .env

3. Set up a virtual environment and install dependencies:

   # On Linux/MacOS
   python3 -m venv .venv
   source .venv/bin/activate  
   # On Windows: 
   python -m venv .venv
   .venv\Scripts\activate
   pip install -r requirements.txt

4. Navigate to the project directory:

   cd AiDocManager/

5. Start the development server:

   python manage.py runserver

6. Install tailwind css:

   python manage.py tailwind install

7. Access the application in your browser:

   http://127.0.0.1:8000/
   

Installation steps (AI_layer)

1. First deactivate any web layer virtual environment or any other virtual environment

   deactivate

2. Navigate to Ai_layer director

   cd Ai_layer

3. Set up a virtual environment and install dependencies:

   # On Linux/MacOS
   python3 -m venv .venv
   source .venv/bin/activate  
   
   # On Windows: 
   python -m venv .venv
   .venv\Scripts\activate
   
   pip install -r requirements_ai.txt

4. Run the application

   uvicorn main:app --port 9000