| Course | Course Name | Professor | Semester / Year |
|---|---|---|---|
| CPSC 531 | Advanced Database Management | Tseng-Ching Shen | Spring 2024 |
| Name | |
|---|---|
| Erwin Medina | erwinmedina@csu.fullerton.edu |
| Indrajeet Patwardhan | Indrajeet2002@csu.fullerton.edu |
This project focuses on analyzing accessible data from nonprofit organizations and assessing their financial stability. We are focusing on retrieving, cleaning, and visualizing the data while also having a focus on big data.
- Clone the repository.
git clone https://github.com/erwinmedina/NP_FinancialPredictor.git
- Navigate to the project directory on your local machine.
cd <project_directory>
- Install all dependencies using Pip (ensure you have Pip installed).
pip install -r requirements.txt
- Ask creators for .env file info
- Run the project.
python manage.py runserver
- Questions / Concerns?
Feel free to email either of us.
- Python
- Pandas (Graphs)
- Random Forest Regression (ML)
- MongoDB
- Django
- HTML/CSS/Javascript
| Page | Output |
|---|---|
| Home Page |  |
| Organization Detail Page |  |
| Predicted Expenses (Example) |  |
| Predicted Revenue (Example) |  |
| Revenue & Expense Comparison by States |  |
- Powerpoint - Midterm Presentation
- Powerpoint - Final Presentation
- Word - Final Report
- GuideStar (What we wanted to create)
- API for NonProfit Info - ProPublica
- Allow users to type in the name of the company instead of an EIN value.
- Provide a deeper analysis and more insights/comparisons of the graphs.
- Improve the UI.
- Comparison within States charts are a bottleneck. Requires optimization. Maybe cache the information so as not to retrieve the same static info.
- Utilize a GDP Per Capita API to provide a live comparison for the States charts.