Mesh Scout - Music Discovery Platform Prototype

A full-stack web application demonstrating music discovery capabilities through social media data analysis, built for the Mesh Software Engineering Intern position.

🚀 Features

1. Music Discovery Dashboard (/discovery)

• Trending Artists: Real-time tracking of emerging artists with breakout scores
• Tastemakers: Identification of influential users with early adopter behavior
• Trending Genres: Analysis of genre growth and popularity metrics
• Social Media Intelligence: Data-driven artist discovery

2. Web Scraping Demo (/scraping)

• Social Media Data Collection: Simulated Instagram profile scraping
• Engagement Analysis: Metrics calculation and trend detection
• Breakout Prediction: AI-powered success probability scoring
• Real-time Processing: Live data analysis demonstration

3. Original Instagram Clone (/)

• Full Social Media Platform: Posts, comments, likes, user profiles
• React Frontend: Modern UI with TypeScript
• Flask Backend: RESTful API with SQLite database
• Authentication: User login/logout functionality

4. Tarot Reading Feature (/tarot/*)

• Interactive Experience: Card shuffling and selection
• Mystical UI: Themed interface with animations
• Creative Addition: Unique feature showcasing versatility

🛠 Technical Stack

Backend

• Flask (Python) - Web framework
• SQLite - Database
• RESTful APIs - Data endpoints
• Web Scraping - Social media data collection (Playwright/Selenium ready)

Frontend

• React 18 - UI framework
• TypeScript - Type safety
• React Router - Navigation
• Modern CSS - Responsive design

Development Tools

• Webpack - Build system
• ESLint/Prettier - Code quality
• Cypress - Testing
• Docker Ready - Containerization support

🎯 Mesh Interview Focus

This prototype demonstrates the exact skills Mesh is looking for:

✅ Full-stack Development: Complete web application with frontend and backend ✅ React/Next.js Experience: Modern React with TypeScript ✅ Python Backend APIs: Flask RESTful services ✅ Web Scraping: Social media data collection capabilities ✅ Music/Culture Interest: Focus on artist discovery and trends ✅ Social Networks: Understanding of social media data analysis ✅ Talent Discovery: Tools for identifying emerging artists

🚀 Quick Start

1. Install Dependencies:

   npm install
   pip install -r requirements.txt

2. Run the Application:

   # Terminal 1: Backend
   python -m flask --app insta485 --debug run
   
   # Terminal 2: Frontend
   npm run build

3. Access the Prototype:

   • Music Discovery: http://localhost:5000/discovery
   • Web Scraping Demo: http://localhost:5000/scraping
   • Original App: http://localhost:5000/

📊 Key Metrics Demonstrated

• Artist Breakout Scores: 92.5/100 for @andfriends.nyc
• Engagement Rates: 4.2% average engagement
• Growth Tracking: 15.2% monthly follower growth
• Tastemaker Influence: 94.2/100 influence scores
• Genre Trend Analysis: Real-time genre popularity tracking

🎨 Design Philosophy

• Dark Theme: Modern, professional interface
• Data Visualization: Clear metrics and analytics
• Responsive Design: Works on all devices
• User Experience: Intuitive navigation and interactions

🔮 Future Enhancements

• Real Instagram API integration
• Advanced machine learning algorithms
• Real-time data streaming
• Mobile app development
• Advanced analytics dashboard

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Built for Mesh Software Engineering Intern Position
Demonstrating full-stack development, web scraping, and music discovery capabilities