A loan advisory system using M-Pesa statement analysis and Gemini AI.
Project description
M-Pesa Loan Advisory System with Gemini AI
This project provides a web-based loan advisory system that analyzes a user's M-Pesa statement (PDF) to assess their financial behavior and recommends a suitable loan amount and payment period using Google's Gemini AI.
Features
- PDF Statement Analysis: Extracts and categorizes M-Pesa transactions from a password-protected PDF.
- Financial Metric Derivation: Calculates key financial indicators like average monthly income, expenses, and existing loan repayments.
- Gemini AI Integration: Passes derived financial data to the Gemini Pro model for detailed financial behavior analysis and personalized loan recommendations (amount and tenure within 1 year).
- Web Interface: A simple Flask web application for users to upload their M-Pesa PDF and receive advice.
- Modular Design: Organized into distinct Python modules for better maintainability and testability.
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