What technologies does Shunchaki+ use?

Shunchaki+ is built using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api. This technology stack provides cutting-edge technical implementation and modern development practices.

How popular is Shunchaki+?

Shunchaki+ has 0-1000 monthly visitors, demonstrating strong market traction and user adoption. The project also generates $1,500 in monthly revenue, indicating proven market demand and monetization potential.

What type of project is Shunchaki+?

Shunchaki+ is a saas project listed as for sale.

How fresh is the information about Shunchaki+?

The information about Shunchaki+ was last updated on June 14, 2026 (1 month ago). The content is somewhat recent but may not reflect the latest changes.

Are there any demo videos of Shunchaki+?

Yes, Shunchaki+ includes 1 demonstration video that showcase the application's functionality and user experience. The videos provide visual walkthroughs of the main functionality, key features, advanced workflows, and use case examples. These videos demonstrate the saas application's technical implementation using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api and real-world performance, giving viewers a clear understanding of the project's capabilities and value proposition.

What is the technical architecture of Shunchaki+?

Shunchaki+ is built using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api, representing a high-complexity technology stack. The architecture follows modern software architecture patterns. The technical foundation supports sustainable revenue generation of $1,500 monthly.

How to build a saas project like Shunchaki+?

To build a saas project like Shunchaki+, you'll need python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api. Start with planning requirements and technical architecture, then configure your development environment. Implement core functionality and user interface, test performance and security, and deploy to production. For revenue generation, implement monetization strategies and business models. Follow best practices for python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api including modern development practices and security standards.

What are the best practices for saas development?

Best practices for saas development include writing clean, maintainable code with proper documentation, implementing authentication and authorization, optimizing for performance and scalability, focusing on intuitive user experience, implementing comprehensive testing strategies, and using CI/CD pipelines for deployment. For python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api, follow technology-specific best practices including modern development patterns and security practices.

What use cases does Shunchaki+ serve?

Shunchaki+ serves business use cases for entrepreneurs, startups, and established companies looking to implement ready-made solutions.

Shunchaki+ - Sell Project

Name: Shunchaki+
Brand: SideProjectors
Availability: InStock
Rating: 4.5 (26 reviews)

Project Overview

Detailed Description

Shunchaki Market+ — AI-Based Customer Loyalty & Emotion Recognition System for RetailProject Overview: Shunchaki Market+ is a locally developed AI-powered customer recognition and loyalty system designed for the retail sector — including supermarkets, grocery stores, and cafes. It combines facial recognition, emotion analysis, and real-time analytics to help businesses not only identify their customers but also understand and engage them more personally.Built as a fully functional MVP, the system allows shop owners and staff to recognize returning customers, track visit frequency and emotional state, and receive instant Telegram notifications with relevant customer data. An admin dashboard built on Streamlit enables full control over customer profiles, purchases, and visit statistics — all running locally without requiring cloud infrastructure.🔑 Key Features:Real-time Face Recognition: Instantly detects and identifies returning customers using an ordinary IP camera.Emotion Detection: Captures the customer’s facial emotion in real time and logs it for behavioral insights.Visit & Purchase Tracking: Records how often each customer visits and what they purchase.Customer Profiles: Displays photos, names, mood, number of visits, and recent purchases for each recognized customer.Telegram Integration: Sends automatic alerts with customer details to a Telegram group for every visit.Streamlit Admin Panel: A local dashboard for managing face data, visit logs, and emotion analytics.No Cloud Dependency: The system runs 100% locally for maximum speed, data privacy, and independence.🎯 Target Users:Supermarkets and local minimarketsCafé and restaurant chainsBeauty salons and barbershopsAny customer-focused business aiming to increase loyalty🔧 Technology Stack:Python + Streamlit for admin interfaceDeepFace + Keras for face and emotion recognitionOpenCV for real-time face detectionTelegram Bot API integrationLocal SQLite or similar databaseIP Camera via RTSP for input feed🧪 MVP Status:Fully functional demo system readySuccessfully tested in real-time environmentWorks on local machine with basic hardwareClean and documented codebase includedTelegram integration, recognition, and emotion capture are operational📦 What’s Included in the Sale:Full source code (face recognition, emotion model, admin panel)Working Telegram bot integrationAll related documentation (setup instructions, dependencies)Optional branding, visuals, and landing page contentVideo demo and user manual upon request❓Why Are We Selling?This is a promising and innovative project with practical retail applications. However, due to time limitations and the fact that I’m currently focused on other local ventures, I am unable to dedicate the required attention and resources to scale this product further. It deserves a new owner who can take it to market and build on its strong foundation.💡 Why It’s Valuable:Shunchaki Market+ bridges AI and retail in a unique way by recognizing customers and treating them individually — emotionally and behaviorally. This approach not only improves customer satisfaction but also gives businesses deep insight into their audience. The system is especially useful in emerging markets where personalized service and automation are just beginning to take hold.If you are interested in acquiring the project or scheduling a live demo, feel free to get in touch. The product is ready for immediate transfer.

Content Freshness & Updates

Project Timeline

Created: July 25, 2025 at 8:49 AM (11 months ago)

Last Updated: June 14, 2026 at 12:13 AM (1 month ago)

Update Status: Updated 1.1 months ago - Somewhat recent

Version Information

Current Version: 1.0 (Initial Release)

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

Next Update: <h2>🌐 <strong>Expansion Strategy & Buyer Recommendations (English Translation)</strong></h2><p><strong>New Brand Name:</strong></p><p> To make the project more versatile and globally appealing, renaming it to <strong>"Just+"</strong> is highly recommended. It’s simple, brandable, and flexible enough to adapt to many service-based industries.</p><h3>🎯 Potential Market Expansions</h3><p>The current system is ideal not only for supermarkets. With minimal adjustments, it can be deployed in various industries such as:</p><h4>1. 🚗 <strong>Auto Services & Car Repair Shops</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Automatically recognize returning clients as they enter</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Show vehicle history and previous repairs</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Offer loyalty-based discounts and coupons</li></ol><h4>2. 🍽 <strong>Restaurants and Bars</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Personalize greetings based on mood</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Provide staff with real-time info via Telegram</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Reward regular guests with tailored menus and perks</li></ol><h4>3. 🏟 <strong>Stadiums & Large Event Venues</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Identify VIPs automatically</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Speed up queue management</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Adjust marketing strategies based on crowd emotions</li></ol><h4>4. 🎡 <strong>Entertainment Centers & Cinemas</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understand visitor moods to optimize service</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Differentiate from competitors using AI</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Use analytics to cater to families and kids more effectively</li></ol><h3>📈 Buyer Recommendations for Expansion:</h3><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Rename the platform to <strong>Just+</strong> — a flexible brand that fits any service sector</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Build modular UI themes: Just Auto+, Just Dine+, Just Events+</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Explore international markets (e.g., Russia, Kazakhstan, Azerbaijan, UAE)</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Consider integrating <strong>QR-based loyalty cards</strong> or <strong>NFC badges</strong></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Develop a mobile admin app to increase adoption and mobility</li></ol><p><br></p>

Activity Indicators

Project Views: 26 total views - Active engagement

Revenue Activity: $1,500 monthly revenue - Active monetization

Content Status: Published and publicly available

Content Freshness Summary

This project information was last updated on June 14, 2026 and represents the current state of the project. The content is somewhat recent but may not reflect the latest changes.

Visual Content & Media

Project Screenshots & Interface

The following screenshots showcase the visual design and user interface of Shunchaki+:

Screenshot 1: Main Dashboard & Primary Interface

This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the modern design principles and user experience patterns implemented using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api.

Project Demonstration Videos

The following videos provide visual demonstrations of Shunchaki+ in action:

Demo Video 1: Main Functionality Walkthrough

This video demonstrates the main functionality and core features of the application, providing a comprehensive overview of how the system works. The video showcases the saas application's technical implementation using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.

Video URL: https://demo.bakhodirov.uz/

Live Demo & Interactive Experience

Live Demo URL: https://demo.bakhodirov.uz

Experience Shunchaki+ firsthand through the live demo. This interactive demonstration allows you to explore the application's features, test its functionality, and understand its user experience. The live demo showcases the saas application's technical capabilities implemented with python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api and real-world performance, providing a comprehensive understanding of the project's value and potential.

Visual Content Summary

This project includes 1 screenshot and 1 demonstration video plus a live demo, providing comprehensive visual documentation of the saas application. The media content demonstrates the project's technical implementation using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api and user interface design, showcasing both the visual appeal and functional capabilities of the solution.

Technical Specifications & Architecture

Technology Stack & Implementation

Primary Technologies: python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api

Technology Count: 9 different technologies integrated

Implementation Complexity: High - Multi-technology stack requiring extensive integration expertise

Technology Analysis

python: High-level programming language known for simplicity and versatility

rtsp: Modern technology component for enhanced functionality and performance

Streamlit: Modern technology component for enhanced functionality and performance

OpenCV: Modern technology component for enhanced functionality and performance

deepface: Modern technology component for enhanced functionality and performance

keras: Modern technology component for enhanced functionality and performance

Telegram API: Modern technology component for enhanced functionality and performance

local SQLITE: Modern technology component for enhanced functionality and performance

Telegram bot Api: Modern technology component for enhanced functionality and performance

System Architecture & Design

Architecture Type: Saas Application

Architecture Pattern: Modern Software Architecture with scalable design patterns

Scalability & Performance

Revenue Performance: $1,500 monthly revenue - Sustainable business model

Scalability Level: Standard - Scalable architecture ready for growth

Security & Compliance

Security Level: Production-grade security with revenue validation

Security Technologies: Modern security practices and secure coding standards

Data Protection: Revenue-generating application with user data protection and privacy compliance

Integration & API Capabilities

Live Integration: https://demo.bakhodirov.uz - Active deployment with real-world integration

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: Live deployment with active user base

Next Development Phase: <h2>🌐 <strong>Expansion Strategy & Buyer Recommendations (English Translation)</strong></h2><p><strong>New Brand Name:</strong></p><p> To make the project more versatile and globally appealing, renaming it to <strong>"Just+"</strong> is highly recommended. It’s simple, brandable, and flexible enough to adapt to many service-based industries.</p><h3>🎯 Potential Market Expansions</h3><p>The current system is ideal not only for supermarkets. With minimal adjustments, it can be deployed in various industries such as:</p><h4>1. 🚗 <strong>Auto Services & Car Repair Shops</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Automatically recognize returning clients as they enter</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Show vehicle history and previous repairs</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Offer loyalty-based discounts and coupons</li></ol><h4>2. 🍽 <strong>Restaurants and Bars</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Personalize greetings based on mood</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Provide staff with real-time info via Telegram</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Reward regular guests with tailored menus and perks</li></ol><h4>3. 🏟 <strong>Stadiums & Large Event Venues</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Identify VIPs automatically</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Speed up queue management</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Adjust marketing strategies based on crowd emotions</li></ol><h4>4. 🎡 <strong>Entertainment Centers & Cinemas</strong></h4><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understand visitor moods to optimize service</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Differentiate from competitors using AI</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Use analytics to cater to families and kids more effectively</li></ol><h3>📈 Buyer Recommendations for Expansion:</h3><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Rename the platform to <strong>Just+</strong> — a flexible brand that fits any service sector</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Build modular UI themes: Just Auto+, Just Dine+, Just Events+</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Explore international markets (e.g., Russia, Kazakhstan, Azerbaijan, UAE)</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Consider integrating <strong>QR-based loyalty cards</strong> or <strong>NFC badges</strong></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Develop a mobile admin app to increase adoption and mobility</li></ol><p><br></p>

Technical Summary

This saas project demonstrates advanced technical implementation using python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api with sustainable revenue generation of $1,500 monthly and 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 saas Project Like This

Technology Stack Required: python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api

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

Step-by-Step Development Guide

Planning Phase: Define requirements, user stories, and technical architecture
Technology Setup: Configure python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api development environment
Core Development: Implement main functionality and user interface
Testing & Optimization: Test performance, security, and user experience
Deployment: Deploy to production with monitoring and analytics
Monetization: Implement revenue streams and business model

Best Practices for saas 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.

rtsp Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

Streamlit Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

OpenCV Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

deepface Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

keras Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

Telegram API Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

local SQLITE Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

Telegram bot Api 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 generate revenue through proven monetization strategies. Perfect for entrepreneurs, startups, or established companies seeking saas solutions.

Comparison & Competitive Analysis

Why python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api?

This project uses python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api because:

Technology Synergy: The combination of python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api 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

Proven Revenue: $1,500 monthly revenue demonstrates market validation
Modern Tech Stack: python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api provides competitive technical advantages
Ready for Market: Production-ready solution with immediate deployment potential

Learning Resources & Next Steps

Learn python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api

To understand and work with this project, consider learning:

python: Python documentation, tutorials, and community resources
rtsp: Official documentation and community learning resources
Streamlit: Official documentation and community learning resources
OpenCV: Official documentation and community learning resources
deepface: Official documentation and community learning resources
keras: Official documentation and community learning resources
Telegram API: Official documentation and community learning resources
local SQLITE: Official documentation and community learning resources
Telegram bot Api: Official documentation and community learning resources

Hands-On Learning

Try It Yourself: https://demo.bakhodirov.uz

Experience the project firsthand to understand its functionality, user experience, and technical implementation. This hands-on approach provides valuable insights into real-world application development.

Project Details

Project Type: Saas

Listing Type: Sell

Technology Stack: python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api

What's Included

source_code,domain,design,data

Reason for Selling

I am no longer interested in working on this project and hope someone else finds it more interesting than I do.

Technical Architecture

Technology Stack & Architecture

This saas project is built using a modern technology stack consisting of python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api. The architecture leverages these technologies to create a production-ready solution that can handle real-world usage scenarios.

Architecture Type: Saas - 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 saas business opportunity with established market presence. The project currently generates $1500 in monthly revenue, demonstrating proven market demand and monetization potential.

Market Validation: With 0-1000 monthly visitors, this project has achieved significant market traction and user adoption, indicating strong product-market fit.

Acquisition Opportunity: I am no longer interested in working on this project and hope someone else finds it more interesting than I do. 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 July 25, 2025 and last updated on June 14, 2026. The project has been in development for approximately 11.9 months, representing 357.8720245808 days of development time.

Technical Implementation Effort

Implementation Complexity: High - The project uses 9 different technologies (python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api), requiring extensive integration work and cross-technology expertise.

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,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api to create a unique solution in the saas space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.

Market Opportunity Assessment

Market Traction: With 0-1000 monthly visitors, this project has demonstrated clear market demand and user adoption. This level of engagement indicates strong product-market fit and validates the business concept against existing market solutions.

Revenue Validation: The project's $1500 monthly revenue demonstrates proven monetization potential and market willingness to pay for this type of solution. This revenue performance positions it competitively against similar offerings in the market.

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,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api provides scalability, maintainability, and future-proofing

Project Metrics

Average Monthly Visitors: 0-1000

Average Monthly Revenue: $1500

About the Creator

Developer: User ID 183658

Project Links

Live Demo: https://demo.bakhodirov.uz

Key Features

Built with modern technologies: python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api
Proven user base with 0-1000 monthly visitors
Generates $1500 in monthly revenue
Ready for immediate acquisition

Frequently Asked Questions

What is this project about?

Shunchaki+ is a saas project that Shunchaki Market+ — AI-Based Customer Loyalty & Emotion Recognition System for RetailProject Overview: Shunchaki Market+ is a locally developed AI-powered customer recognition and loyalty system d....

How much does this project cost?

This project is listed for sale at $ USD. There's also an offer price of $75,000 USD. The price reflects the project's current revenue, user base, and market value.

What's included when I buy this project?

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

Why is the owner selling this project?

I am no longer interested in working on this project and hope someone else finds it more interesting than I do. This is a common reason for selling successful side projects.

What technologies does this project use?

This project is built with python,rtsp,Streamlit,OpenCV,deepface,keras,Telegram API,local SQLITE,Telegram bot Api. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.

What are the project's current metrics?

The project currently has 0-1000 monthly visitors. It generates $1500 in monthly revenue. These metrics indicate the project's current performance and potential.

Can I see a live demo of this project?

Yes! You can view the live demo at https://demo.bakhodirov.uz. This will give you a better understanding of the project's functionality and user experience.

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.