AI Loan Advisor | Full-Stack Banking Web Application

I developed Loan Strategy Agent, a full-stack web application that helps users explore and compare personal loan options from different banks.

The idea behind this project was to make loan research easier. Instead of manually checking multiple banks and comparing their offers, users can share their requirements and receive relevant loan information through an AI-powered assistant.

I built the frontend using React.js and developed the backend with Python, Django, and Django REST Framework.

The application collects important details such as loan type, amount, repayment period, monthly income, and banking preferences before providing recommendations.

One of the main challenges was ensuring that the AI assistant only provides information supported by available banking data. I implemented validation and grounding mechanisms to help prevent unsupported recommendations.

The application also maintains conversation context using MongoDB Atlas and allows users to export loan-related information as PDF reports.

Key Features:

AI-powered loan assistance

Loan comparison using available bank data

Interactive chat interface

User requirement collection

Conversation history and context management

Data validation and response guardrails

PDF report generation

Responsive web interface

Technologies Used: React.js, Python, Django, Django REST Framework, MongoDB Atlas, ReportLab

This project gave me hands-on experience building a complete web application and integrating AI functionality into a practical financial use case.