chore: fact dynamics mdx refine

Author: vishnu32510

docs/showcase/fact-dynamics.mdx

@@ -1,8 +1,8 @@
 ---
 title: Fact Dynamics
-description: A Flutter app for real-time fact-checking of debate, speech and images uses Perplexity's Sonar API.
+description: Real-time fact-checking Flutter app for debates, speeches, and images using Perplexity's Sonar API
 sidebar_position: 2
-keywords: [Sonar API, Flutter, Dart, fact‑checking, hackathon, real-time, speech-to-text, image-verification]
+keywords: [Sonar API, Flutter, Dart, fact-checking, real-time, speech-to-text, debate, image-verification]
 ---
 
 # Fact Dynamics
@@ -17,163 +17,61 @@ keywords: [Sonar API, Flutter, Dart, fact‑checking, hackathon, real-time, spee
   />
 </p>
 
-Fact Dynamics is a cross‑platform Flutter application that leverages Perplexity's Sonar API to provide real‑time fact‑checking for spoken and visual content—perfect for debates, presentations, or on‑the‑fly image verification. Built as a Perplexity Hackathon submission in the Information Tools & Deep Research & Education categories.
+**Hackathon Submission** - Built for Perplexity Hackathon in Information Tools & Deep Research categories.
 
-## Features
+Fact Dynamics is a cross-platform Flutter app that provides real-time fact-checking for spoken content and images. Perfect for live debates, presentations, and on-the-fly information verification.
 
-- **Real‑time Speech Analysis** - Transcribes live audio (via `speech_to_text`) and fact‑checks each snippet instantly
-- **Image Fact Verification** - Extracts text from images and verifies claims on‑device
-- **Claim Rating System** - Classifies claims as **TRUE**, **FALSE**, **MISLEADING**, or **UNVERIFIABLE**
-- **Source Citations** - Surfaces authoritative URLs backing each verdict
-- **User Authentication** - Firebase Auth (Google & Email) with secure Firestore persistence
-- **Debate Mode** - Continuous speech recognition with streaming feedback
-- **Cross‑platform** - iOS, Android, Web (macOS testing; Windows coming soon)
-
-## Prerequisites
-
-- Flutter SDK installed on your development machine
-- Firebase account for authentication and data persistence
-- Perplexity Sonar API key
-- Device with microphone access for speech recognition
-- Camera access for image capture (optional)
-
-## Installation
-
-1. **Clone the repository**
-   ```bash
-   git clone https://github.com/vishnu32510/fact_pulse.git
-   cd fact_pulse
-   ```
+## What It Does
 
-2. **Install Flutter dependencies**
-   ```bash
-   flutter pub get
-   ```
-
-3. **Configure Firebase for your platform**
-   - Create a Firebase project at [Firebase Console](https://console.firebase.google.com/)
-   - Enable Authentication (Google, Email) and Firestore Database
-   - Install and configure FlutterFire CLI:
-     ```bash
-     dart pub global activate flutterfire_cli
-     flutterfire configure
-     ```
-   - Follow the prompts to select your Firebase project and platforms (iOS/Android/Web)
-
-4. **Set up API key**
-   - Create a `.env` file in the project root (use `.env.template` as reference)
-   - Add your Perplexity Sonar API key:
-     ```
-     PERPLEXITY_API_KEY=your_api_key_here
-     ```
-
-5. **Configure platform permissions**
-   - For Android: Microphone and camera permissions are configured in `android/app/src/main/AndroidManifest.xml`
-   - For iOS: Permissions are configured in `ios/Runner/Info.plist`
+- **Real-time Speech Analysis** - Transcribes live audio and fact-checks each snippet instantly
+- **Image Fact Verification** - Extracts text from images and verifies claims automatically  
+- **Claim Rating System** - Classifies claims as TRUE, FALSE, MISLEADING, or UNVERIFIABLE
+- **Source Citations** - Provides authoritative URLs backing each verdict
+- **Debate Mode** - Continuous speech recognition with streaming feedback
+- **Cross-platform** - Works on iOS, Android, and Web
 
-6. **Run the application**
-   ```bash
-   flutter run
-   ```
+## How It Uses Perplexity
 
-## Usage
+**Real-time Speech Fact-Checking:**
+- Streams 5-second audio chunks through Flutter's `speech_to_text`
+- Sends transcribed snippets to Sonar API with structured prompts
+- Returns JSON with claims, ratings (TRUE/FALSE/MISLEADING/UNVERIFIABLE), explanations, and sources
 
-### Demo & Screenshots
+**Image Analysis:**
+- Uploads images/URLs to Sonar API for text extraction
+- Verifies extracted claims against authoritative sources
+- Provides comprehensive analysis with source attribution
 
-- [Watch the demo video](https://youtu.be/92IoX19Djtc)  
-- [Web Demo](https://fact-pulse.web.app/)
+## Screenshots
 
 <table>
   <tr>
-    <td>
-      <img
-        src="https://raw.githubusercontent.com/vishnu32510/fact_pulse/main/assets/screenshots/1.%20Login.png"
-        alt="Login screen"
-        width="200"
-      />
-    </td>
     <td>
       <img
         src="https://raw.githubusercontent.com/vishnu32510/fact_pulse/main/assets/screenshots/2.%20Dashboard.png"
         alt="Dashboard"
         width="200"
       />
     </td>
-    <td>
-      <img
-        src="https://raw.githubusercontent.com/vishnu32510/fact_pulse/main/assets/screenshots/5.%20Profile.png"
-        alt="Profile screen"
-        width="200"
-      />
-    </td>
-  </tr>
-</table>
-
-<table>
-  <tr>
-    <td>
-      <img
-        src="https://raw.githubusercontent.com/vishnu32510/fact_pulse/main/assets/screenshots/3.%20Facts%20Checked%20List(Speech,%20Debate,%20Image).png"
-        alt="Facts checked list"
-        width="300"
-      />
-    </td>
     <td>
       <img
         src="https://raw.githubusercontent.com/vishnu32510/fact_pulse/main/assets/screenshots/4.%20Fact%20Checks(Speech,%20Debate,%20Image).png"
-        alt="Fact checks screen"
-        width="300"
+        alt="Fact checking interface"
+        width="200"
       />
     </td>
   </tr>
 </table>
 
-1. **Authentication**: Sign in with Google or email through Firebase Auth
-2. **Speech Mode**: Tap the microphone to start real-time speech transcription and fact-checking
-3. **Image Mode**: Upload an image or provide a URL to extract and verify text claims
-4. **Debate Mode**: Enable continuous speech recognition for live debate fact-checking
-5. **View Results**: Check claim ratings, explanations, and source citations
-
-## Code Explanation
-
-### Perplexity Sonar API Integration
-
-The app integrates with Perplexity's Sonar API in two main ways:
-
-1. **Debate Fact‑Checking**  
-   - Stream 5‑second audio chunks → transcribe → send `textSnippet` to Sonar  
-   - Parse JSON response for `{ claim, rating, explanation, sources }`
-
-2. **Image Analysis**  
-   - Upload or URL‑point to image → Sonar extracts on‑image text → verify each claim
-
-```dart
-final client = PerplexityClient(apiKey: env.SONAR_API_KEY);
-final response = await client.analyzeClaim(textSnippet);
-print('Rating: ${response.rating}, Confidence: ${response.confidence}');
-```
-
-The app processes audio in real-time, transcribes it using Flutter's speech-to-text package, and sends each snippet to the Sonar API for immediate fact verification with source citations.
-
-### Custom SDKs Used
-
-This project uses custom-built Perplexity API SDKs developed specifically for this hackathon:
-- **perplexity_dart** - Core Dart SDK ([pub.dev](https://pub.dev/packages/perplexity_dart), [docs](perplexity-flutter))
-- **perplexity_flutter** - Flutter widgets and utilities ([pub.dev](https://pub.dev/packages/perplexity_flutter), [docs](perplexity-flutter))
-
-## Links
+## Open Source SDKs
 
-- [GitHub Repository](https://github.com/vishnu32510/fact_pulse)
-- [Live Demo](https://fact-pulse.web.app/)
-- [Devpost Submission](https://devpost.com/software/fact-dynamics)
-- [Demo Video](https://youtu.be/92IoX19Djtc)
+Built two reusable packages for the Flutter community:
+- **[perplexity_dart](https://pub.dev/packages/perplexity_dart)** - Core Dart SDK for Perplexity API
+- **[perplexity_flutter](https://pub.dev/packages/perplexity_flutter)** - Flutter widgets and BLoC integration
 
-## Limitations
+## Key Links
 
-- Speech recognition accuracy depends on audio quality and background noise
-- Fact-checking is limited to claims that can be verified through available online sources
-- Image text extraction quality varies based on image resolution and text clarity
-- Real-time processing may experience latency depending on network connectivity
-- Cross-platform compatibility is still being tested for macOS and Windows
-- API rate limits may affect continuous usage in high-volume scenarios
-- Android microphone access permissions need to be added for long duration listening
+- **[GitHub Repository](https://github.com/vishnu32510/fact_pulse)** - Full source code
+- **[Live Demo](https://fact-pulse.web.app/)** - Try the web version
+- **[Demo Video](https://youtu.be/92IoX19Djtc)** - Watch it in action
+- **[Devpost Submission](https://devpost.com/software/fact-dynamics)** - Hackathon entry