ritzfy/Business-Contract-Management-System

Streamlined contract analysis process using Natural Language Processing and Named Entity Recognition

ClauseCheck

Business contracts are complex legal documents with structured content. The Business Contract Validator Website enhances the contract review and validation process by utilizing Natural Language Processing (NLP) to extract key entities from uploaded PDFs, such as parties' names, agreement date, amount, and document type. It compares this extracted data against a predefined template to identify discrepancies and missing elements, generating a summary that highlights key points and potential issues. This approach streamlines the contract analysis process, improving efficiency, accuracy, and consistency with a user-friendly interface and robust backend technologies.

So, we created an application which is designed for contract analysis and Named Entity Recognition (NER). The application classifies content within contract clauses, detects deviations from a template, and highlights them. Additionally, we developed a text classifier to enhance the accuracy of content classification.

Technologies used

• Frontend: React, Next.js, HTML5, CSS3, Javascript
• Backend: FastAPI, Flask
• Model: PyTorch, HuggingFace

Features

• Text Extraction from PDFs
• PDF-Parser
• Named Entity Recognition (NER)
• Text Classification
• Entity Highlighting
• Text Comparison
• Text Summarization
• User-Friendly Interface

Authors

• @AdarshKumar5597
• @RedWolfCodes
• @anishakshyp
• @HUMAN1-2

Process Flow

Screenshots

Run the program

To deploy this project run, go through this following steps:

• Step 1: Clone the repository

  git clone https://github.com/AdarshKumar5597/Business-Contract-Management-System.git

• Step 2: To run the frontend

    cd bcv-frontend
    npm i
    npm run dev

• Step 3: To run the backend, download the model from this google drive link: https://drive.google.com/drive/folders/1S-jcKlC3o5AaHwIamT_JkfltrxqogntM?usp=drive_link and download the folders.

• Step 4: After downloading the folders, paste them in [flask-backend] folder.

• Step 5: Run this command to install all python packages.

    pip install -r requirements.txt

• Step 6: Then initiate the backend code.

    python app.py

Instruction

• Our program needs two contract pdfs (must be in text or pdf format) - Standard Template and Target contract to compare, classify and summarize.