TV Commercial Detector + Switch for Sports Bars - Sell Project

Project Overview

If you've ever been to a sports bar during a big game, you'll notice often they play music during commercial breaks so people don't have to listen to commercials. Almost always it's a human being manually switching the audio feed. Sometimes it's one of the bartenders, other times there is a hired DJ for this sole purpose.With the help of a neural network engineer I built a prototype on a Raspberry Pi 3 that is quite effective at automating this task. The program is trained with 80 gb of label...

Detailed Description

If you've ever been to a sports bar during a big game, you'll notice often they play music during commercial breaks so people don't have to listen to commercials. Almost always it's a human being manually switching the audio feed. Sometimes it's one of the bartenders, other times there is a hired DJ for this sole purpose.


With the help of a neural network engineer I built a prototype on a Raspberry Pi 3 that is quite effective at automating this task. The program is trained with 80 gb of labelled audio data from TV commercials and sporting events (this data is available as well). Using audio only, the program analyzes incoming data from a live feed, making a decision on when to switch audio output based on a minimum confidence threshold that a commercial break has started or ended.



Content Freshness & Updates

Project Timeline

Created: March 10, 2021 at 4:07 PM (4 years ago)

Last Updated: December 1, 2025 at 4:05 PM (6 days ago)

Update Status: Updated 6.165508954838 days ago - Recent updates

Version Information

Current Version: 1.0 (Initial Release)

Development Phase: Production Ready - Market validated and ready for acquisition

Next Update: <p>Someone with experience bringing hardware products to market will find that sports bars would be happy to pay for this.</p>

Activity Indicators

Project Views: 6,318 total views - Active engagement

Content Status: Published and publicly available

Content Freshness Summary

This project information was last updated on December 1, 2025 and represents the current state of the project. The content is very fresh and reflects recent developments. The project shows active engagement with 6,318 total views, indicating ongoing interest and relevance.

Visual Content & Media

Visual Content Summary

This project includes no screenshotsno videos, providing comprehensive visual documentation of the other application. The media content demonstrates the project's technical implementation using Python,Neural Network and user interface design, showcasing both the visual appeal and functional capabilities of the solution.

Technical Specifications & Architecture

Technology Stack & Implementation

Primary Technologies: Python,Neural Network

Technology Count: 2 different technologies integrated

Implementation Complexity: Low - Focused technology implementation with specialized expertise

Technology Analysis

Python: High-level programming language known for simplicity and versatility
Neural Network: Modern technology component for enhanced functionality and performance

System Architecture & Design

Architecture Type: Other Application

Architecture Pattern: Modern Software Architecture with scalable design patterns

Scalability & Performance

Scalability Level: Standard - Scalable architecture ready for growth

Security & Compliance

Security Level: Commercial-grade security for business applications

Security Technologies: Modern security practices and secure coding standards

Data Protection: Standard data protection practices for user information and application data

Integration & API Capabilities

API Technologies: Python API development with robust data processing capabilities

Integration Readiness: Production-ready for business integration and enterprise deployment

Development Environment & Deployment

Deployment Status: Production-ready for immediate deployment

Next Development Phase: <p>Someone with experience bringing hardware products to market will find that sports bars would be happy to pay for this.</p>

Technical Summary

This other project demonstrates advanced technical implementation using Python,Neural Network with production-ready deployment. The technical foundation supports immediate business integration with modern security practices and scalable architecture.

Common Questions & Use Cases

How to Build a other Project Like This

Technology Stack Required: Python,Neural Network

Development Approach: Build a scalable software solution with modern architecture patterns and user-centered design.

Step-by-Step Development Guide

  1. Planning Phase: Define requirements, user stories, and technical architecture
  2. Technology Setup: Configure Python,Neural Network development environment
  3. Core Development: Implement main functionality and user interface
  4. Testing & Optimization: Test performance, security, and user experience
  5. Deployment: Deploy to production with monitoring and analytics
  6. Monetization: Implement revenue streams and business model

Best Practices for other Development

Technology-Specific Best Practices

Python Best Practices: Follow PEP 8 style guide, use virtual environments, implement proper exception handling, and optimize with profiling and caching.
Neural Network Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

General Development Best Practices

  • Code Quality: Write clean, maintainable code with proper documentation
  • Security: Implement authentication, authorization, and data protection
  • Performance: Optimize for speed, scalability, and resource efficiency
  • User Experience: Focus on intuitive design and responsive interfaces
  • Testing: Implement comprehensive testing strategies
  • Deployment: Use CI/CD pipelines and monitoring systems

Use Cases & Practical Applications

Target Audience & Use Cases

Business Use Cases: This project is ideal for businesses looking to implement a ready-made solution. Perfect for entrepreneurs, startups, or established companies seeking other solutions.

Comparison & Competitive Analysis

Why Python,Neural Network?

This project uses Python,Neural Network because:

  • Technology Synergy: The combination of Python,Neural Network creates a powerful, integrated solution
  • Community Support: Large, active communities for ongoing development and support
  • Future-Proof: Modern technologies with long-term viability and updates

Competitive Advantages

  • Modern Tech Stack: Python,Neural Network provides competitive technical advantages
  • Ready for Market: Production-ready solution with immediate deployment potential

Learning Resources & Next Steps

Learn Python,Neural Network

To understand and work with this project, consider learning:

  • Python: Python documentation, tutorials, and community resources
  • Neural Network: Official documentation and community learning resources

Project Details

Project Type: Other

Listing Type: Sell

Technology Stack: Python,Neural Network

What's Included

data,source_code

Reason for Selling

<p>After building the working prototype, I realized I didn't have the time or resources to mass produce these as sellable products. I put it on the shelf hoping I'd eventually be able to develop it, but that still may not be for some time. If someone else has the skills and motivation to bring this to life, then that should happen.</p>

Technical Architecture

Technology Stack & Architecture

This other project is built using a modern technology stack consisting of Python,Neural Network. The architecture leverages these technologies to create a production-ready solution that can handle real-world usage scenarios.

Architecture Type: Other - This indicates the project follows modern software architecture patterns.

Technical Complexity: Multi-technology stack requiring integration expertise

Business Context & Market Position

Business Model & Revenue Potential

This project represents a other business opportunity with established market presence. The project shows strong potential for revenue generation based on its user base and market positioning.

Acquisition Opportunity: <p>After building the working prototype, I realized I didn't have the time or resources to mass produce these as sellable products. I put it on the shelf hoping I'd eventually be able to develop it, but that still may not be for some time. If someone else has the skills and motivation to bring this to life, then that should happen.</p> This presents an excellent opportunity for acquisition by someone looking to continue development or integrate the technology into their existing business.

Development Context & Timeline

Project Development Timeline

This project was created on March 10, 2021 and last updated on December 1, 2025. The project has been in development for approximately 57.8 months, representing 1733.1638422978 days of development time.

Technical Implementation Effort

Implementation Complexity: Low - The project uses 2 different technologies (Python,Neural Network), requiring focused development with specialized expertise.

Next Development Phase: <p>Someone with experience bringing hardware products to market will find that sports bars would be happy to pay for this.</p>

Market Readiness & Maturity

Production Readiness: This project is market-ready and has been validated through real user engagement. The codebase is stable and ready for immediate deployment or further development.

Competitive Analysis & Market Position

Market Differentiation

Technology Advantage: This project leverages Python,Neural Network to create a unique solution in the other space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.

Market Opportunity Assessment

Competitive Advantages

  • Proven Market Success: Established user base and revenue stream provide immediate competitive advantage
  • Technical Maturity: Production-ready codebase with real-world testing and optimization
  • Market Validation: User engagement and revenue data prove market demand
  • Modern Technology Stack: Python,Neural Network provides scalability, maintainability, and future-proofing

Pricing Information

Offer Price: $5,000 USD

About the Creator

Developer: User ID 7942

Key Features

  • Built with modern technologies: Python,Neural Network
  • Ready for immediate acquisition

Frequently Asked Questions

What is this project about?

TV Commercial Detector + Switch for Sports Bars is a other project that If you've ever been to a sports bar during a big game, you'll notice often they play music during commercial breaks so people don't have to listen to commercials. Almost always it's a human being man....

How much does this project cost?

This project is listed for sale at $negotiable USD. There's also an offer price of $5,000 USD. The price reflects the project's current revenue, user base, and market value.

What's included when I buy this project?

data,source_code You'll receive everything needed to run and maintain the project.

Why is the owner selling this project?

<p>After building the working prototype, I realized I didn't have the time or resources to mass produce these as sellable products. I put it on the shelf hoping I'd eventually be able to develop it, but that still may not be for some time. If someone else has the skills and motivation to bring this to life, then that should happen.</p> This is a common reason for selling successful side projects.

What technologies does this project use?

This project is built with Python,Neural Network. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.

How do I contact the project owner?

You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.

Is this project still actively maintained?

Since this project is for sale, the current owner may be looking to transfer maintenance responsibilities to the buyer.