🔥 FireFind - AI-Powered Entertainment Discovery

FireFind is an intelligent content recommendation system that uses AI to analyze your mood, context, and preferences to suggest the perfect entertainment.

🚀 Features

• AI Mood Analysis: Automatically detects mood from movie descriptions
• Real-time Context: Weather and time-based recommendations
• Smart Recommendations: ML-powered content matching
• Watch Party: Share viewing experiences with friends
• Beautiful UI: Modern, responsive design

🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: AWS Lambda, API Gateway
• AI/ML: AWS Bedrock (Claude), Custom Mood Analysis
• Database: DynamoDB
• APIs: OMDb (movies), OpenWeatherMap (weather)

📋 Prerequisites

• Node.js (v14 or higher)
• AWS Account
• OMDb API Key (Get one here)
• OpenWeatherMap API Key (Get one here)

🔧 Installation

1. Clone the repository:

git clone https://github.com/yourusername/firefind.git
cd firefind

2. Copy configuration templates:

cp config.example.js config.js
cp .env.example .env

3. Edit config.js and add your API keys:

window.APP_CONFIG = {
    OMDB_API_KEY: 'your_actual_key_here',
    OPENWEATHER_API_KEY: 'your_actual_key_here',
    # ... other config
};

4. Install backend dependencies:

cd backend/lambdas/prompt-processor && npm install
cd ../recommendation-engine && npm install
cd ../context-collector && npm install
cd ../watch-party && npm install

🚀 Deployment

🖥️ Frontend Deployment

1. Update config.js with production values
   Replace API keys and URLs with production-ready values in config.js.

2. Deploy to a static hosting service
   Options include:

   • AWS S3
   • Netlify
   • Vercel

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☁️ Backend Deployment

1. Set up AWS credentials

aws configure

2. Deploy Lambda functions

cd backend
./deploy.sh

3. Create API Gateway and update the URL in config.js

💻 Local Development

• Open index.html in a web browser
• The app will use mock data by default
• To use real APIs, update USE_MOCK_DATA to false in config.js

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🔒 Security Notes

• Never commit API keys to GitHub
• Use environment variables for sensitive data
• In production, implement backend proxy for API calls

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👥 Team

• Rishika Agarwal
• Prernendu Bhagat
• Mansa Mahendru

IIIT Allahabad | Amazon HackOn 5.0