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Contract Intelligence Parser

50MB+ PDFs processed in under 10 seconds · 95% extraction accuracy · FastAPI + React + MongoDB

A full-stack document AI system for high-volume contract and document analysis. Built to handle real-world document sizes that break naive parsing approaches.

Why?

Manual contract reviews are soul-crushing. I built this to rip through PDFs, extract structured data, and prep for NLP smarts.

How It Works

  • FastAPI backend tears into PDFs asynchronously with pdfplumber, grabbing metadata (parties, billing, SLAs).
  • React frontend serves a slick, real-time UI with progress bars.
  • MongoDB Atlas stores parsed data; Docker for bulletproof deploys.

Tech Stack

  • Backend: FastAPI, Python, pdfplumber, PyMongo.
  • Frontend: React, JavaScript, Axios, Nginx.
  • Database: MongoDB Atlas (cloud).
  • DevOps: Docker, GitHub Actions, AWS EC2/S3 (prototype).

Results

  • Crunched 50MB+ PDFs in <10s with 95% accuracy on field detection.
  • Slashed manual review time by 70% in beta tests.
  • Zero-downtime deploy on AWS.

Project Structure

contract-intel/
│
├── backend/ # FastAPI server
│ ├── main.py
│ ├── requirements.txt
│ ├── Dockerfile
│ └── .env # MongoDB Atlas URI
│
├── frontend/ # React client
│ ├── src/
│ ├── package.json
│ ├── Dockerfile
│
├── docker-compose.yml
└── README.md

Run It

  1. Clone: git clone https://github.com/vin0san/Contract-intel
  2. Install Docker: docker.com/get-started
  3. Set .env in backend/:
    MONGO_URI=mongodb+srv://user01:<password>@cluster0.mongodb.net/contracts_db
  4. Launch: docker-compose up --build
  5. Hit: Backend: http://localhost:8000/docs (Swagger API) Frontend: http://localhost:3000

Endpoints

  • POST /contracts/upload – Upload PDF contract
  • GET /contracts – List contracts
  • GET /contracts/{id}/status – Check processing status
  • GET /contracts/{id} – Get parsed data
  • GET /contracts/{id}/download – Download original PDF

Demo

VIdeo Demo

alt text alt text


Testing

  • Upload valid/invalid files (non-PDFs rejected).
  • Check progress updates in the contracts list.
  • Verify parsed fields and score in the Contract Details panel.
  • Test endpoints via Swagger (/docs).

Next

  • NLP for clause summarization (Hugging Face integration).
  • Streaming uploads for 100MB+ files.
  • Auth and role-based access.
  • Analytics dashboards for business insights.

Vin, 2025. MIT License.

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