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Add Perplexity FinCaseAI to Showcase #45

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Add showcase page for Perplexity FinCaseAI project
PrashansaChaudhary Aug 8, 2025
483100f
Add showcase page for Perplexity FinCaseAI
PrashansaChaudhary Aug 9, 2025
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Merge branch 'main' into main
PrashansaChaudhary Aug 9, 2025
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48 changes: 48 additions & 0 deletions docs/showcase/perplexity-fincaseai.mdx
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---
title: Perplexity FinCaseAI | AI-Powered Credit Dispute Reviewer
description: A smart assistant that uses Perplexity's Sonar API to analyze financial dispute cases and suggest approve/reject decisions with reasoning.
sidebar_position: 12
keywords: [FinCaseAI, Perplexity, Sonar API, finance, disputes, fraud detection, sentiment analysis, LLM, AI]
---

**Perplexity FinCaseAI** is a lightweight, AI-powered tool that reviews credit card dispute complaints and assists analysts by suggesting decisions based on fraud patterns, urgency, and reasoning.

## Features

- Approve/Reject decision suggestions with confidence levels
- Fraud risk scoring using keyword and pattern matching
- Sentiment and urgency detection from complaint text
- Sonar API integration for final recommendations and reasoning
- Optional Redis-based caching for performance

## How It Uses Sonar

FinCaseAI sends case descriptions as structured prompts to the **Sonar API**, asking for:

- A decision recommendation (approve/reject)
- A brief explanation for the judgment

The API response is parsed and shown alongside internal fraud and sentiment scores for a complete picture.

> **Example Prompt to Sonar**
> "_Given the following customer complaint, should the dispute be approved or rejected? Provide a short explanation._"

## Tech Stack

- **Frontend**: React + Vite
- **Backend**: Python Flask
- **AI Engine**: Perplexity Sonar API + custom logic
- **Cache**: Optional Redis integration
- **Infrastructure**: Runs locally or deployable via Docker

## Setup Instructions

1. Clone the [GitHub repo](https://github.com/PrashansaChaudhary/Perplexity-FinCaseAI)
2. Create a `.env` file with your `SONAR_API_KEY`
3. Run the backend using Flask
4. Start the frontend using Vite
5. Open `http://localhost:5173` and start testing your cases

## Links

- [GitHub Repository](https://github.com/PrashansaChaudhary/Perplexity-FinCaseAI)