💰 FinBridge – Microloan Eligibility Predictor

A Flask-based web application that predicts whether a user is eligible for a microloan using a Machine Learning model and provides personalized financial advice.

This project aims to support financial inclusion by helping users understand their eligibility and improve their financial habits.

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🚀 Features

• Predicts microloan eligibility using a Random Forest classifier
• Provides personalized financial improvement tips
• Financial literacy guidance page
• Clean and simple user interface
• Built with Flask and Scikit-learn

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🛠 Tech Stack

• Python
• Flask
• Pandas
• Scikit-learn
• HTML & CSS

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📸 Screenshots

Home Page

Eligibility Prediction

Financial Tips

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📂 Project Structure

FinBridge/
│
├── app.py
├── financial_inclusion.csv
├── requirements.txt
├── README.md
│
├── templates/
│ ├── index.html
│ ├── eligibility.html
│ └── tips.html
│
└── screenshots/
├── home.png
├── eligibility.png
└── tips.png

⚙️ How to Run Locally

Clone the repository:

git clone https://github.com/aarushisingh236/FinBridge.git

Navigate to project folder:

cd FinBridge

Install dependencies:

pip install -r requirements.txt

Run the application:

python app.py

Open in browser:

http://127.0.0.1:5000