Problem Statement 1: Intelligent Transactional System with Dynamic Data Processing

🔍 Overview:

Design a smart transactional system that supports real-time/scheduled operations, handles rate-based calculations, and enables decision-making at scale. Integrate AI/ML, a distributed backend (YugabyteDB), and Flutter-based interfaces for high availability, security, and rich analytics.

Key Requirements:

• 📡 Real-time or on-demand data ingestion & transformation (rates, pricing, approvals).
• 🤖 AI/ML-driven decision-making (recommendations, dynamic margining).
• 🗄 YugabyteDB backend for distributed, fault-tolerant performance.
• 📱 Flutter-based multi-role frontend.
• ⚖ Scalable architecture for branches/departments.

Suggested Use Cases:

• Rate engine (currency, commodities).
• Approval systems with AI scoring.
• Margining/pricing logic based on customer profiles.
• Real-time alerting for volatile data.

💡 Preferred Tech:

Use YugabyteDB — it’s preferred, not mandatory.

Problem Statement 2: Smart Identity & Compliance Framework

🔍 Overview:

Create a system that automates or enhances identity verification, compliance checks, and onboarding workflows using AI/ML with YugabyteDB for secure storage.