Hello! I’m not sure if this is the right place to post this, and perhaps someone has already suggested a similar idea, but I still wanted to share it in case it reaches the right people. If there’s a more appropriate section for this, please let me know. Thanks!
【AI Smart Matching System Proposal】
- Introduction
We propose the development of an AI-based smart matching system for social networking and collaboration. Through anonymous matching and real-name verification, this system aims to help users find like-minded friends and partners efficiently and securely.
- Goals & Value Proposition
Problems to Solve:
Difficulty in making friends in real life
Challenges for creators to find suitable collaborators
High risks of scams in online social platforms
How This Feature Improves User Experience:
Provides a safe, anonymous, interest- and value-based matching mechanism
Reduces social pressure
Uses AI to detect and prevent potential fraud
- Feature Design
Matching Mechanism:
AI will analyze user characteristics such as interests, hobbies, creative goals, values, and location to find the best matches.
Interaction Flow:
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Phase 1: Anonymous Matching – Users fill in their preferences, and AI conducts an initial conversation to assess their traits before matching them with compatible users. Communication is limited to an anonymous chat system.
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Phase 2: Trust Building – When users reach a certain level of interaction (e.g., chat duration, message count), they can unlock more communication features.
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Phase 3: Real-Name Verification – If both users agree, they can proceed with identity verification to enhance trust for deeper collaborations.
Risk Management Mechanisms:
AI fraud detection
Reputation scoring system
Anonymous reporting mechanism
- Security & Fraud Prevention
Optional Real-Name Verification: Users may verify their identity via phone number or ID to increase credibility.
AI Risk Detection: The system will flag potential risks such as money-related conversations, suspicious links, high-frequency invitations, and harmful language.
User Review System: Matched users can anonymously rate or report their conversation partners to prevent scams or malicious behavior.
- Feasibility & Market Demand
Market Demand:
Many introverts and socially anxious individuals struggle to initiate conversations. This system lowers the barrier, encouraging more people to engage in meaningful social connections.
Competitive Analysis:
Existing social and networking platforms such as Tinder, LinkedIn, and Discord have limitations and risks. AI-powered smart matching and fraud prevention mechanisms can fill these gaps and provide a safer alternative.
- Challenges & Solutions
Privacy Concerns: Users retain control over their anonymity. Real-name verification is optional, balancing privacy and trust.
Fraud & Abuse: AI will detect abnormal behavior, scam patterns, and inappropriate content to minimize risks.
User Retention: Features like interest-based communities and AI-guided conversations will enhance engagement beyond initial matches.
- Conclusion
This proposal outlines an innovative AI-driven social and collaboration matching system that addresses key pain points in current networking platforms. By integrating anonymous matching, trust-building, and real-name verification, the system fosters genuine connections while ensuring security and privacy.
The platform is particularly suitable for introverts, creators, and professionals seeking like-minded partners. Compared to existing platforms, AI fraud detection and reputation scoring significantly enhance trustworthiness, making it ideal for safe collaborations and meaningful exchanges.
We encourage the development team to evaluate this proposal’s technical feasibility and market potential. With advancements in AI technology, intelligent matching and risk control mechanisms can transform the way people connect and collaborate, delivering a superior user experience.