AI-Enabled Matrimony Platform – Website + Android App + iOS App (AWS Hosted) 1. Project Overview We are looking to develop a next-generation AI-powered matrimony platform consisting of: Responsive web application Android mobile app iOS mobile app Secure AWS cloud hosting & DevOps Built-in AI features for customers & sales teams The system should intelligently match profiles, assist users through AI chat, and enable sales teams to convert leads using AI insights. 2. Scope of Work A. Web Application Responsive UI Secure login (OTP, email, social) Profile creation & verification Advanced AI search Match recommendations Privacy & block controls Chat & video calling Subscription & payment Notification system B. Mobile Applications (Android & iOS) Cross-platform (Flutter / React Native preferred) AI match suggestions Smart profile recommendations AI chatbot support Push notifications Secure payment gateway 3. AI Features A. AI for Customers 1. Smart Matchmaking Engine ML-based compatibility scoring Behavioral matching (likes, chats, profile views) Cultural preference learning Continuous learning model 2. AI Profile Assistant Profile writing suggestions Photo quality analysis Bio improvement tips Fake profile detection 3. AI Chat Companion Ice-breaker suggestions Conversation coaching Sentiment detection Abuse detection 4. AI Search & Filters Natural language search Smart filters Voice search (optional) B. AI for Sales & Business Teams 1. AI Lead Scoring Identify high-intent users Conversion probability prediction Subscription upsell recommendations 2. Sales Assistant Bot Automated WhatsApp/email follow-ups Personalized offers Abandoned checkout recovery 3. Revenue Intelligence Pricing optimization Churn prediction Campaign effectiveness tracking 4. Fraud & Risk AI Fake account detection Payment risk scoring Behavioral anomaly detection 4. Backend & AI Architecture Microservices architecture ML pipelines Model training & retraining Feature store Real-time inference APIs Model monitoring 5. AWS Cloud Architecture Core Services EC2 / ECS / EKS RDS DynamoDB (optional) S3 Lambda API Gateway CloudFront Load Balancer Route53 AI Services Amazon SageMaker Bedrock (GenAI chatbot) Rekognition (photo quality check) Comprehend (sentiment analysis) Personalize (recommendations) Security IAM KMS WAF Shield Secrets Manager 6. Admin Panel User lifecycle management AI insight dashboards Lead funnel analytics Revenue KPIs Campaign manager Support chatbot console 7. Performance & Compliance GDPR / DPDP compliance Data masking Rate limiting Audit logging AI explainability 8. Deliverables Web platform Android app iOS app AI models & APIs AWS infra setup CI/CD pipelines Monitoring dashboards Documentation Source code Training & handover 9. Freelancer Expectations AI/ML project experience AWS certified preferred App store deployment history Data security expertise NDA & IP transfer 10. Timeline 16–20 weeks 11. Budget Negotiable based on AI complexity. 12. Ownership 100% source code ownership Model ownership Data ownership Optional Enhancements Face match verification Horoscope matching AI Video profile AI analysis Multilingual AI bot