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https://github.com/kishore-sr/creditworthy

AI-powered web app built at "Codeathon 2024" IIIT Bangalore
https://github.com/kishore-sr/creditworthy

clerk-auth node-js numpy pandas python reactjs streamlit

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AI-powered web app built at "Codeathon 2024" IIIT Bangalore

Host: GitHub
URL: https://github.com/kishore-sr/creditworthy
Owner: Kishore-SR
Created: 2024-11-20T17:16:14.000Z (2 months ago)
Default Branch: main
Last Pushed: 2024-12-11T17:50:22.000Z (about 2 months ago)
Last Synced: 2024-12-11T18:45:46.939Z (about 2 months ago)
Topics: clerk-auth, node-js, numpy, pandas, python, reactjs, streamlit
Language: JavaScript
Homepage: https://creditworthy.vercel.app
Size: 840 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        ## CreditWorthy 🏛️

CreditWorthy is a web app designed to assess the creditworthiness of unbanked nano-entrepreneurs, such as local vegetable vendors, laundry service providers, and kirana store owners. 

This project was created for the **AI & Data Science Codeathon 2024**, a 24-hour hackathon organized by RBIHub, IIITB Innovation Center, in collaboration with Canara Bank, held on **20-21 November 2023**.

`🏅 Our team "Cosmic" proudly secured 2nd Runner-Up, winning ₹75,000 for this project CreditWorthy.`

[![Project Link](https://img.shields.io/badge/Project%20Link-37a779?style=for-the-badge)](https://creditworthy.vercel.app/)    

[![Hackathon VIDEO](https://img.shields.io/badge/hackathon%20VIDEO-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://youtu.be/vte1DKiFjAM?si=IpzgvN7MllpUI_BB)  

## Problem Statement

> The problem statement, *"AI-Driven Credit Access for Unbanked Nano-Entrepreneurs,"* was provided by the RBIH team during the Codeathon 2024. Our project addresses this challenge by empowering nano-entrepreneurs with innovative AI solutions for financial inclusion.

### Features

- **AI-Based Credit Scoring**: Uses AI to evaluate creditworthiness based on transaction patterns, business performance, and other alternative data.

- **Simple Authentication**: Users authenticate via phone number to easily access the platform.

- **Efficient Data Processing**: Minimal data collection for accurate and efficient credit scoring.

- **Financial Inclusion**: Helps nano-entrepreneurs access formal credit, enabling business growth and economic empowerment.

### Built Using

[![React](https://img.shields.io/badge/react-%2320232a.svg?&style=for-the-badge&logo=react&logoColor=%2361DAFB)](https://reactjs.org/)

[![Python](https://img.shields.io/badge/python-%2314354C.svg?&style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/)

[![Scikit Learn](https://img.shields.io/badge/scikit_learn-%23F7931E.svg?&style=for-the-badge&logo=scikit-learn&logoColor=white)](https://scikit-learn.org/)

[![Clerk Auth](https://img.shields.io/badge/clerk_auth-%23047D6A.svg?&style=for-the-badge&logo=clerk&logoColor=white)](https://clerk.dev/)

[![Express.js](https://img.shields.io/badge/express.js-%23404d59.svg?&style=for-the-badge&logo=express&logoColor=white)](https://expressjs.com/)

[![Node.js](https://img.shields.io/badge/node.js-%23339933.svg?&style=for-the-badge&logo=node.js&logoColor=white)](https://nodejs.org/)

[![Vite](https://img.shields.io/badge/Vite-643EED.svg?style=for-the-badge&logo=vite&logoColor=white)](https://vitejs.dev/)

[![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?&style=for-the-badge&logo=pandas&logoColor=white)](https://pandas.pydata.org/)

![Streamlit](https://img.shields.io/badge/Streamlit-%23FF4B4B.svg?style=for-the-badge&logoColor=white)

[![Numpy](https://img.shields.io/badge/numpy-%23013243.svg?&style=for-the-badge&logo=numpy&logoColor=white)](https://numpy.org/)

### Project Preview

![Image](https://github.com/user-attachments/assets/691cff19-d6b0-4e65-90db-5a5202729ad4)

![Image](https://github.com/user-attachments/assets/6b32ff37-909d-4ac9-8a50-eb16c39e6fc6)

![Image](https://github.com/user-attachments/assets/ea66ca30-de51-4a94-899d-eb36800036f1)

![Image](https://github.com/user-attachments/assets/3205fef7-2772-4cb5-9e3d-0b16c1cc37ca)

![Image](https://github.com/user-attachments/assets/f5a89357-610b-4366-a7e1-47c635652234)

![Image](https://github.com/user-attachments/assets/4ff73bb1-df76-4e42-8df3-de84d34283a4)

![Image](https://github.com/user-attachments/assets/921743c4-1b1e-4c89-93c0-6688ed009559)

![Image](https://github.com/user-attachments/assets/3038494e-5885-4874-9c65-9181b0bf63b1)

![Image](https://github.com/user-attachments/assets/f575fd1a-306a-48a6-88c7-7e0a00f57743)

![Image](https://github.com/user-attachments/assets/1f5b08c7-c4a6-44a7-a184-5a214c173768)

![Image](https://github.com/user-attachments/assets/7cb5ea6e-9831-40b1-8544-c8f5b542d6c3)

### Run the Project Locally

1. Clone the repository:

    ```bash

    git clone https://github.com/Kishore-SR/CreditWorthy.git

    ```

2. Navigate to the project directory:

    ```bash

    cd CreditWorthy

    ```

3. Install dependencies:

    ```bash

    npm install

    ```

4. Run the development server:

    ```bash

    npm run dev

    ```

5. Open `http://localhost:5173` in your browser to see this project.

### Additional Commands

- **Run Node Server** (to store contact form data):

    ```bash

    node server.js

    ```

- **Convert ePassbook to JSON** (using Python script):

    ```bash

    python convert.py

    ```

- **Run AI Model** (with Streamlit for credit analysis):

    ```bash

    streamlit run Filename.py

    ```

    Select the appropriate JSON file for credit analysis during the run.

## Team Cosmic

[![Kishore S R](https://img.shields.io/badge/kishore%20s%20r-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/Kishore-SR)  

[![Harshavardhan M](https://img.shields.io/badge/harshavardhan%20m-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/harshavardhan-md/)  

[![Hitesh P](https://img.shields.io/badge/hitesh%20p-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/hitesh-p-aa55662a3)

 

[![Jeevan N](https://img.shields.io/badge/jeevan%20n-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/jeevan-n-39a5652a3)

 

[![Rishi Majeti](https://img.shields.io/badge/Rishi%20Majeti-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/rishi-majeti-01b6102b4/)