Fash AI Agent

Intelligent Fashion Discovery with Social Media Trends

🌟 Transform your fashion discovery experience with AI-powered search that combines e-commerce platforms with real-time social media trends from Pinterest and Instagram!

🚀 What is Fash AI Agent?

Fash AI Agent is a revolutionary AI-powered fashion discovery platform that bridges the gap between traditional e-commerce search and social media fashion trends. Our intelligent agent searches across multiple platforms while learning from your preferences to deliver personalized fashion recommendations.

🎨 The Problem We Solve

🔍 Fragmented Search: Fashion lovers waste time searching across multiple platforms
🤖 Generic Results: Traditional search engines don't understand fashion context
📱 Missed Trends: Social media fashion trends are hard to discover and track
🎯 No Personalization: Current solutions don't learn from user preferences

✨ Our Solution

A unified AI agent that combines e-commerce search, social media trends, and personalized recommendations in one powerful platform.

🌟 Key Features

🔥 Social Media Integration 📌 Pinterest Trends: Real-time fashion content scraping 📸 Instagram Discovery: Fashion hashtags and influencer content 🎭 Style Inspiration: Keyword-based fashion exploration 📈 Trending Analysis: Seasonal and brand trend detection	🤖 AI-Powered Intelligence 🧠 Natural Language Processing: Understands complex queries 🎯 Smart Filtering: AI-based result refinement 📊 Preference Learning: Learns from user interactions 🔄 Personalized Loop: Improves recommendations over time
🛍️ Multi-Platform Search 🛒 E-commerce Giants: Amazon, eBay, Etsy, ASOS 💰 Price Tracking: Monitor price changes and alerts 📱 Smart Notifications: Email alerts for deals 🔍 Advanced Filters: Size, color, brand, price range	💎 User Experience 🌐 Modern Web Interface: Beautiful, responsive design 📱 Interactive Feedback: Like, save, and rate items 📊 Personal Dashboard: Track preferences and history ⚡ Real-time Updates: Live trend notifications

🎯 New Features (Social Media Integration)

🔥 Latest Updates - Issue #10

Feature	Description	Status
📌 Pinterest Integration	Real-time fashion trends and style inspiration	✅ Complete
📸 Instagram Scraping	Fashion hashtags and influencer content	✅ Complete
🤖 Personalized Recommendations	AI learns from user feedback and preferences	✅ Complete
📊 User Feedback System	Interactive like/save/view tracking	✅ Complete
🌐 Enhanced Web Interface	Beautiful UI with social media integration	✅ Complete
📈 Trend Analysis	Seasonal trends and brand popularity tracking	✅ Complete

🛠️ Technology Stack

🚀 Quick Start

📋 Prerequisites

# Check Python version (3.8+ required)
python --version

# Ensure you have Git installed
git --version

1️⃣ Clone & Setup

# Clone the repository
git clone https://github.com/Sunzzx/fash-ai-agent.git
cd fash-ai-agent

# Create virtual environment
python -m venv venv

# Activate virtual environment
# Windows:
venv\Scripts\activate
# macOS/Linux:
source venv/bin/activate

2️⃣ Install Dependencies

# Install required packages
pip install -r requirements.txt

# Verify installation
pip list | grep -E "(openai|flask|beautifulsoup4|selenium)"

3️⃣ Environment Configuration

# Copy environment template
cp .env.example .env

# Edit .env file with your API keys
nano .env  # or use your preferred editor

Required API Keys:

# OpenAI for AI-powered search
OPENAI_API_KEY=your_openai_api_key_here

# SERP API for enhanced search
SERP_API_KEY=your_serp_api_key_here

# Email configuration (optional)
EMAIL_HOST=smtp.gmail.com
EMAIL_PORT=587
EMAIL_USER=[email protected]
EMAIL_PASSWORD=your_app_password

4️⃣ Launch the Application

🌐 Web Interface

python web_interface.py
# Access at http://localhost:5000

⚡ Command Line Interface

python main.py --help

🎯 Interactive Mode

python main.py
# Follow the interactive prompts

💡 Usage Examples

🔍 Basic Search

# Simple clothing search
python main.py --query "blue denim jacket under $100"

# Search with social media trends
python main.py --query "summer dress" --social-media

# Get personalized recommendations
python main.py --query "sneakers" --user-session "user123"

🔥 Trending Content

# Get current fashion trends
python main.py --trending

# Seasonal trend analysis
python main.py --season summer

# Style inspiration search
python main.py --inspiration "vintage,bohemian,minimalist"

🎯 Interactive Mode Commands

# Start interactive mode
python main.py

# Available commands:
👗 Search: blue summer dress size M
👗 Search: trending
👗 Search: inspiration: streetwear minimalist
👗 Search: help
👗 Search: quit

🌐 Web Interface Features

Feature	Description
🔍 Smart Search	AI-powered natural language search
📊 Trend Dashboard	Real-time social media trends
❤️ Interactive Feedback	Like, save, and rate items
📈 Personal Analytics	Track your fashion preferences
🎨 Style Inspiration	Discover new fashion styles

📁 Project Architecture

fash-ai-agent/
├── 🎯 main.py                 # Main CLI entry point
├── 🤖 clothing_agent.py       # Core AI agent logic
├── 👕 clothing_item.py        # Data models for clothing items
├── ⚙️ settings.py             # Configuration management
├── 🔧 filter_agent.py         # Advanced filtering and ranking
├── 📱 web_interface.py        # Flask web application
├── 📌 pinterest_scraper.py    # Pinterest content scraper
├── 📸 instagram_scraper.py    # Instagram content scraper
├── 📊 social_media_manager.py # Social media integration hub
├── 💬 user_feedback.py        # User interaction tracking
├── 📝 preferences.py          # User preference models
├── 📋 logger.py               # Application logging
├── 🌐 templates/              # Web interface templates
│   └── index.html             # Main UI template
├── 📚 docs/                   # Documentation
├── 🧪 tests/                  # Test suite
└── 📦 requirements.txt        # Dependencies

🎨 Screenshots & Demo

🌐 Web Interface

📱 Mobile Responsive

🧪 Testing & Quality

🔬 Run Tests

# Run all tests
pytest

# Run with coverage report
pytest --cov=src tests/

# Run specific test categories
pytest tests/test_agents/
pytest tests/test_scrapers/
pytest tests/test_social_media/

📊 Code Quality

# Format code with Black
black .

# Lint with flake8
flake8 src/

# Type checking with mypy
mypy src/

📈 Performance Monitoring

Response Time: < 2s for basic searches
Social Media Integration: < 5s for trend analysis
Memory Usage: Optimized for low resource consumption
Rate Limiting: Respectful API usage patterns

🤝 Contributing

🌟 Join Our Community!

We welcome contributions from developers of all skill levels!

🚀 Quick Contribution Guide

🍴 Fork the repository
🌿 Create a feature branch: git checkout -b feature/amazing-feature
💻 Code your changes following our style guide
✅ Test your changes: pytest
📝 Commit with clear messages: git commit -m "feat: add amazing feature"
🚀 Push to your fork: git push origin feature/amazing-feature
📬 Submit a Pull Request

📋 Contribution Areas

Area	Description	Difficulty
🛍️ New E-commerce Scrapers	Add support for more shopping platforms	🟢 Beginner
📱 Social Media Platforms	Integrate TikTok, Twitter, YouTube	🟡 Intermediate
🤖 AI Improvements	Enhance recommendation algorithms	🔴 Advanced
🌐 UI/UX Enhancements	Improve web interface design	🟡 Intermediate
📊 Analytics Features	Add trend prediction and analytics	🔴 Advanced

📚 Documentation

Document	Description
📖 Contributing Guide	How to contribute to the project
🔐 Code of Conduct	Community guidelines and standards
🚀 API Documentation	Complete API reference
📱 Social Media Integration	Detailed feature documentation
🐛 Issue Templates	Bug reports and feature requests

🛡️ Security & Privacy

🔒 Data Protection

Local Storage: User data stored locally in SQLite
No Personal Info: No personal information collected
Session-Based: Temporary session tracking only
API Security: Secure handling of API keys

🤝 Platform Respect

Rate Limiting: Respectful API usage
Robots.txt Compliance: Follows web scraping ethics
Caching: Minimizes redundant requests
Error Handling: Graceful failure management

📈 Roadmap

🎯 Upcoming Features

Quarter	Features	Status
Q2 2024	🔥 TikTok Integration, 📊 Advanced Analytics	🟡 In Progress
Q3 2024	📱 Mobile App, 🤖 ML Improvements	📅 Planned
Q4 2024	🌍 Multi-language Support, 💳 Price Alerts	📅 Planned
Q1 2025	🎨 AR Try-on, 🤖 Voice Search	💭 Research

⭐ Support the Project

Love Fash AI Agent? Show your support!

🏆 Acknowledgments

Special thanks to our amazing contributors and the open-source community!

💝 Built With Love By

GirlScript Summer of Code 2025 - Open source program
OpenAI - AI-powered search capabilities
Flask - Web framework
BeautifulSoup - Web scraping

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🎉 Happy Fashion Hunting! 🛍️

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
.github		.github
templates		templates
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
License		License
README.md		README.md
SOCIAL_MEDIA_INTEGRATION_SUMMARY.md		SOCIAL_MEDIA_INTEGRATION_SUMMARY.md
__init__.py		__init__.py
base_agent.py		base_agent.py
clothing_agent.py		clothing_agent.py
clothing_item.py		clothing_item.py
config.json		config.json
demo_social_media.py		demo_social_media.py
filter_agent.py		filter_agent.py
instagram_scraper.py		instagram_scraper.py
logger.py		logger.py
main.py		main.py
pinterest_scraper.py		pinterest_scraper.py
preferences.py		preferences.py
requirements.txt		requirements.txt
settings.py		settings.py
social_media_manager.py		social_media_manager.py
user_feedback.py		user_feedback.py
web_interface.py		web_interface.py

License

Sunzzx/fash-ai-agent

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