🎟️ FanFirst

A fan-first concert ticketing platform
Developed by: Ranjodh Singh, Naman Singh, Nikhil Kumar

🚨 Problem Statement

The current ticketing ecosystem is broken. Bots and scalpers dominate sales, leaving true fans behind.

• Tickets for popular artists are sold out within minutes due to scalping.
• Genuine fans often miss the chance to experience their favorite artists live.
• Scalpers inflate resale prices, making concerts unaffordable.
• Existing systems reward speed, not loyalty.

✅ Proposed Solution

Fan-Prioritized Ticketing:
A system that integrates with streaming services (Spotify, Apple Music) to assess fan engagement and reserve a portion of tickets exclusively for loyal listeners. This dual sales model supports both priority and general ticket allocation, reducing scalper advantages.

• Engagement-Based Ranking: Verifies and ranks users using streaming data.
• Reserved Ticket Pool: Guarantees a set number of tickets for top fans.
• Scalper & Bot Prevention: Implements strict account linking limits and verification.

🚀 Key Features

• Streaming Account Integration: Connect Spotify, Apple Music, etc.
• Priority-Based Ticket Allocation: Dedicated ticket pool for top fans.
• Artist & Event Integration: Organizers can customize allocation logic.
• Scalper & Bot Prevention: Account linking limits and verification layers.
• Location-Based Suggestions: Personalized alerts for nearby events.

🛠️ Tech Stack

Frontend

• Bootstrap with Custom CSS

Backend

• Python (Django)
• SQLite
• Groq API
• OAuth 2.0 for Authentication

APIs & Integrations

• Spotify Web API
• Apple Music API
• YouTube Data API v3

👥 Target Audience & Engagement

Music Fans

• Active listeners seeking a fair chance at live events with personalized dashboards and timely notifications.

Event Organizers

• Promoters and venues who want to ensure that tickets are distributed to genuine fans while reducing scalping.

🔮Future Enhancements

• Extended Streaming & Social Media Integration:
  Incorporate more platforms for a broader view of fan engagement.

• AI & Analytics:
  Use predictive analytics to optimize ticket allocation and forecast fan behavior.

• Blockchain-Based Ticketing:
  Enhance security, transparency, and the resale market with decentralized technologies.

• Market Diversification:
  Expand the model to sports, theater, and festivals.

• Community & Loyalty Programs:
  Develop exclusive content, rewards, and community features to further engage loyal fans.

🗺️ Workflow