How
MindInventory
Built an
AI & Computer
Vision-Powered Platform for
Safe, Authentic, and Engaging
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Industry
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Industry
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Services
The platform integrates
Computer vision for identity verification and image abuse detection
AI-powered matchmaking and personalized conversation suggestions
Real-time UI adaptation and a single-profile feed
AI-driven text moderation and mood analysis
Business Challenge
Right from building trust and providing safety to catering to the dynamic user needs, there were a multitude of business challenges that our team faced during the project.
Trust & Safety
Preventing fake accounts and inappropriate content in both text and images at scale
Meaningful Engagement
Ensuring interactions go beyond superficial swipes and static profiles.
Personalized Matchmaking
Traditional filters (age, location, gender) were insufficient for emotional compatibility.
Dynamic UX Needs
Profiles with variable-length self-expression words required responsive layouts across devices.
Focused Discovery
Swipe-based feeds caused users to skip many profiles, reducing engagement quality.
The solution had to integrate AI and computer vision at multiple levels, while remaining intuitive and scalable.
Solution
We combined AI, computer vision, real-time UX adaptation, and advanced moderation to deliver a safe, seamless, and intelligent platform.
Real-Time UX & Discovery Innovation
Single-Profile Feed
Each user sees only one profile at a time, ensuring focus and reducing skipped connections.
Real-Time UI Synchronization
Dynamic adjustment of profile layouts based on word length ensures a consistent and visually appealing presentation.
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Computer Vision & AI Moderation
Live Selfie Verification
Computer vision matches selfies to uploaded photos, eliminating fake accounts and catfishing.
Image Abuse Detection
AI screens uploaded profile images for inappropriate content.
Hybrid Oversight
Human review complements AI for maximum accuracy and reliability.
Advanced AI Matchmaking & Engagement
Continuous Learning
AI models improve over time, enhancing matchmaking and engagement.
Profile Prioritization / Rejection
AI deprioritizes or temporarily blocks profiles with negative sentiment or abusive behavior.
AI-Powered Word Suggestions
Encourages creative, personality-reflecting words to keep profiles engaging and fresh.
Mood & Sentiment Analysis
AI analyzes user self-expressions, chats, and interaction patterns to suggest matches with compatible emotional tones.
AI-Powered Matchmaking & Safety
Text Moderation
NLP-based models detect abusive, offensive, or harmful words in bios and chats.
Predictive Engagement Scoring
AI predicts match quality and likelihood of meaningful conversations.
Adaptive Conversation Prompts
Generates dynamic, personalized prompts based on self-expression and mood.
Tech Stack Used
Frontend
React Native for cross-platform consistency
Backend
Node.js + Express.js for real-time performance
Database
MongoDB for dynamic timelines and content
Real-Time Chat
WebSockets integrated with AI moderation
Cloud Hosting
AWS with Firebase Authentication for security and scalability
Impact & Results
Achieved 95% verification accuracy using live selfie computer vision.
70% of users update their self-expression words weekly, boosting engagement
Reduced abuse reports by 40% compared to industry benchmarks.
Maintained a 4.5-star App Store rating and was praised for originality, safety, and user experience.
Garnered 25,000+ downloads within the first three months.
Recorded an average session length of 18 minutes, indicating deeper interaction.