Project Info

Credit Score Predictor

This project did not submit a demo video on Devpost.

Inspiration

Wanting to access higher financial products as a responsible young professional.

What it does

Generates a projection of a person's future creditworthiness based on past and current financial habits.

Credit Score Estimator

Overview

The Credit Score Estimator is a web application that allows users to estimate their credit score based on key financial factors. This project uses Java with Spring Boot to create a simple, user-friendly interface for credit score estimation.

Features

Web-based interface for inputting financial data
Server-side processing of credit score estimation
Responsive design for use on various devices

Prerequisites

Before you begin, ensure you have met the following requirements:

Java Development Kit (JDK) 11 or higher
Maven 3.6 or higher
Git (for version control)

Installation

To install the Credit Score Estimator, follow these steps:

Clone the repository:

git clone https://github.com/yourusername/credit-score-estimator.git

Navigate to the project directory:
```
cd credit-score-estimator
```
Build the project using Maven:
```
mvn clean package
```

Usage

To run the Credit Score Estimator:

Start the application:

java -jar target/credit-score-estimator-1.0-SNAPSHOT.jar

Open a web browser and go to http://localhost:8080
Fill in the required information:
- Annual Income
- Monthly Debt
- Credit History (in years)
Click "Calculate" to see your estimated credit score

Project Structure

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only

CSSIn code
ExpressIn code
HTMLIn code
JavaScriptIn code
OpenAIClaimed

4 of 5 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

5.2 KB

Source files

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

Feature verification

4 Verified3 Claimed only

AI-powered future credit score forecasting using OpenAIVerified
Forecasts future credit scores using AI, based on past and current financial habits
Claimed on Devposthigh confidence
- app.js:14 — POST /api/credit-check calls OpenAI chat completions API with a system prompt scoring payment history, debt ratio, credit history length, and inquiries, returning a creditworthiness result
- public/ai.js:4 — Frontend calls /api/credit-check and displays the returned result to the user
OpenAI integration ('Built With: openai')Verified
Project built with OpenAI
Claimed on Devposthigh confidence
- app.js:14 — Directly calls https://api.openai.com/v1/chat/completions with an Authorization bearer token from OPENAI_API_KEY
Server-side processing of credit score estimationVerified
Server-side processing of credit score estimation
Claimed on readmehigh confidence
- app.js:10 — Express endpoint /api/credit-check performs the server-side call and computation via OpenAI
Web-based interface for inputting financial dataVerified
Web-based interface for inputting financial data
Claimed on readmehigh confidence
- public/index.html:12 — Provides a text input (#userInput) and submit button for entering credit history data
Java Spring Boot implementationClaimed only
Uses Java with Spring Boot to create the interface, built/run via Maven and a JAR
Claimed on readmehigh confidence
Responsive design for various devicesClaimed only
Responsive design for use on various devices
Claimed on readmehigh confidence
Structured input fields for Annual Income, Monthly Debt, Credit History (years)Claimed only
Fill in Annual Income, Monthly Debt, and Credit History (in years), then click Calculate
Claimed on readmehigh confidence

An AI agent derived these features from the project’s Devpost page and readme, then searched the code for each one. Verified features are backed by cited code; claimed-only features had no supporting code, which is not by itself proof a feature is missing.