This innovative insurance platform transforms fraud detection for verified document retrieval using advanced AI-powered mechanisms. By reducing the reliance on manual verification, the system enhances efficiency while delivering real-time fraud analysis through multiple layers of security checks.
This project was created for the Hackathon Hack-AI-Thon conducted by SBI.
Demo.mp4
This project leverages the following technologies:
- TypeScript (77.7%)
- Python (20.9%)
- Other (1.4%)
To set up the Neo4j database, run the following Cypher queries:
// 1. Create a unique constraint on the email field
CREATE CONSTRAINT user_email IF NOT EXISTS
ON (u:User) ASSERT u.email IS UNIQUE;
// 2. Create indexes for better query performance
CREATE INDEX user_name IF NOT EXISTS
FOR (u:User) ON (u.name);
CREATE INDEX user_surname IF NOT EXISTS
FOR (u:User) ON (u.surname);Follow these steps to set up the project:
- Clone the repository:
git clone https://github.com/parthpetkar/Hack-AI-Thon-Project.git
- Navigate to the project directory:
cd Hack-AI-Thon-Project - Install dependencies:
npm install
The frontend uses React + TypeScript + Vite. This setup provides a minimal configuration to get React working with Vite, HMR, and some ESLint rules.
For more information, refer to the Frontend README.
We would like to thank the following contributors for their hard work:
- parthpetkar - 12 contributions
- parth1899 - 9 contributions
- adideo03 - 8 contributions
- aryaalukar - 7 contributions
We welcome contributions from the community. Please follow these steps to contribute:
- Fork the repository
- Create a new branch (
git checkout -b feature-branch) - Commit your changes (
git commit -m 'Add a feature') - Push to the branch (
git push origin feature-branch) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Feel free to customize the sections as per your project's specifics.