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Team-25

Tech Stack:

Frontend

  • React
  • Vite
  • JavaScript
  • HTML/CSS
  • Tableau

Backend

  • Python
  • Gemini API
  • FlaskAPI

Team Members:

Frontend Developers

  • Daniel Li
  • Meera Nambiar
  • Pralay Ray

Backend Developers

  • Vidhi Bakshi
  • Tunmise Kehinde
  • Neil Nair
  • Antonio Tapia

Run Instructions

Frontend Instructions

  1. Change into the frontend directory.
cd frontend/
  1. Install all necessary packages assuming Node.js is installed.
npm i
  1. Run locally.
npm run dev

Backend Instructions

  1. Change into the backend directory.
cd data_pipeline/
  1. Install all necessary libraries assuming python is installed.
pip install -r requirements.txt
  1. Run locally.
python server.py

AI Usage

Generative AI was leveraged to ease learning curves with new tools and provide examples for complex integrations.

Example prompts:

  • "Give an exmaple of how to implement Flask to integrate my React frontend and Python backend."
  • "How can I use the Gemini API inside my codebase?"
  • "I want to add this feature to my frontend design, what React components do that?"

    The code ("Code") in this repository was created solely by the student teams during a coding competition hosted by JPMorgan Chase Bank, N.A. ("JPMC"). JPMC did not create or contribute to the development of the Code. This Code is provided AS IS and JPMC makes no warranty of any kind, express or implied, as to the Code, including but not limited to, merchantability, satisfactory quality, non-infringement, title or fitness for a particular purpose or use.

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JPMorgan Chase Code For Good 2025 Project

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Languages

  • JavaScript 28.3%
  • CSS 27.1%
  • Jupyter Notebook 23.8%
  • Python 19.5%
  • Other 1.3%